Schedule

20 June

21 June

20 June

21 June

Speakers

Sponsors

Exhibitors

Job Board

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Marc Bellemare

Research Scientist
Google Brain
Marc G. Bellemare is a research scientist at Google Brain in Montreal, Canada; a CIFAR Learning in Machines & Brain Fellow; adjunct professor at McGill University; and was recently awarded a Canada CIFAR AI Chair, held at the Montreal Institute for Learning Algorithms (Mila). He received his Ph.D. from the University of Alberta where he studied the concept of domain-independent agents and built the highly-successful Arcade Learning Environment, the platform for AI research on Atari 2600 games. From 2013 to 2017 he was research scientist at DeepMind where he made important contributions to the field of deep reinforcement learning. He is known for his work on reinforcement learning, including approximate exploration, representation learning, and the distributional method.

20 June

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Shane Gu

Research Scientist
Google Brain
Shane Gu is a Research Scientist at Google Brain, where he mainly works on problems in deep learning, reinforcement learning, robotics, and probabilistic machine learning. His recent research focuses on sample-efficient RL methods that could scale to solve difficult continuous control problems in the real-world, which have been covered by Google Research Blogpost and MIT Technology Review. He completed his PhD in Machine Learning at the University of Cambridge and the Max Planck Institute for Intelligent Systems in Tübingen, where he was co-supervised by Richard E. Turner, Zoubin Ghahramani, and Bernhard Schölkopf. During his PhD, he also collaborated closely with Sergey Levine at UC Berkeley/Google Brain and Timothy Lillicrap at DeepMind. He holds a B.ASc. in Engineering Science from the University of Toronto, where he did his thesis with Geoffrey Hinton in distributed training of neural networks using evolutionary algorithms.

20 June

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Ofir Nachum

Research Scientist
Google Brain
Ofir Nachum currently works at Google Brain as a Research Scientist. His research focuses on reinforcement learning, with notable work including PCL (path consistency learning) and HIRO (hierarchical reinforcement learning with off-policy correction). He received his Bachelor's and Master's from MIT. Before joining Google, he was an engineer at Quora, leading machine learning efforts on the feed, ranking, and quality teams.

20 June

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Pulkit Agrawal

Research Scientist
UC Berkeley
Pulkit earned his Ph.D. in computer science from UC Berkeley and co-founded SafelyYou Inc. He will be starting as an Assistant Professor at MIT in the Fall of 2019. His research interests span robotics, deep learning, computer vision, and computational neuroscience. Pulkit completed his bachelors in Electrical Engineering from IIT Kanpur and was awarded the Director’s Gold Medal. His work has appeared multiple times in MIT Tech Review, Quanta, New Scientist, NYPost, etc. He is a recipient of Signatures Fellow Award, Fulbright Science and Technology Award, Goldman Sachs Global Leadership Award, OPJEMS and Sridhar Memorial Prize among others. Pulkit holds a “Sangeet Prabhakar” (equivalent to bachelors in Indian classical music) and occasionally performs in music concerts.

21 June

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Junhyuk Oh

Research Scientist
Deepmind
Junhyuk Oh is a research scientist at DeepMind. He received his Ph.D. from Computer Science and Engineering at the University of Michigan in 2018, co-advised by Prof. Honglak Lee and Prof. Satinder Singh. His research focuses on deep reinforcement learning problems such as dealing with partial observability, generalization, planning, and multi-agent reinforcement learning. His work was featured at MIT Technology Review and Daily Mail.

20 June

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Abhishek Gupta

PhD Student
UC Berkeley
Abhishek Gupta is a third year Ph.D student at UC Berkeley, working with Professor Sergey Levine and Professor Pieter Abbeel. Abhishek's research interests focus on Deep Reinforcement Learning in robotics, with an emphasis on multi-task learning, transfer learning, imitation learning and dexterous manipulation. Abhishek received a B.S in Electrical Engineering and Computer Science from UC Berkeley working with Professor Pieter Abbeel on apprenticeship learning and hierarchical planning. Abhishek is the recipient of the NSF graduate research fellowship as well as the NDSEG graduate fellowship.

21 June

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Animesh Garg

Senior Research Scientist/Research Scientist
NVIDIA AI Research Lab/Stanford AI Lab
Animesh Garg is a Senior Research Scientist in NVIDIA AI Research Lab and a Research Scientist at Stanford AI Lab. Animesh received his Ph.D. from the University of California, Berkeley where he was a part of the Berkeley AI Research Group and a Postdoctoral Researcher at Stanford AI Lab. He is an incoming faculty in Computer Science at the University of Toronto. Animesh works in the area of robot skill learning and his work sits at the interface of optimal control, machine learning, and computer vision methods for robotics applications. His research has been recognized with Awards at IEEE CASE, Hamlyn Symposium on Surgical Robotics, and IEEE ICRA. And his work has also featured in press outlets such as New York Times, UC Health, UC CITRIS News, and BBC Click.

20 June

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Alicia Kavelaars

Co-Founder and CTO
OffWorld
Alicia is Co-Founder and Chief Technology Officer at OffWorld Inc. She brings over 15 years of experience in the aerospace industry developing and successfully launching systems for NASA, NOAA and the Telecommunications industry. In 2015, Alicia made the jump to New Space to work on cutting edge innovation programs. In her tenure at OffWorld, Alicia has led the development of AI based rugged robots that will be deployed in one of the most extreme environments on Earth as a precursor to swarm robotic space operations: deep underground mines. Alicia holds a MSc. and PhD from Stanford University and a BSc. in Theoretical Physics from UAM, Spain.

21 June

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Roberto Calandra

Research Scientist
Facebook AI Research
Roberto Calandra is a Research Scientist at Facebook AI Research (FAIR). Previously, he was a postdoctoral scholar at UC Berkeley in the Berkeley Artificial Intelligence Research Laboratory (BAIR) working with Sergey Levine. Roberto received a Ph.D. from TU Darmstadt (Germany) under the supervision of Jan Peters and Marc Deisenroth, a M.Sc. in Machine Learning and Data Mining from the Aalto university (Finland), and a B.Sc. in Computer Science from the Università degli studi di Palermo (Italy). His scientific interests focus at the conjunction of Machine Learning and Robotics, in what is know as Robot Learning.

21 June

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Karl Cobbe

Research Scientist
OpenAI
Karl Cobbe is currently a research scientist at OpenAI. He received his BS in computer science with distinction from Stanford University in 2014. He first joined OpenAI as a research fellow, working under the mentorship of John Schulman. His research primarily focuses on generalization and transfer in deep reinforcement learning. Karl is particularly interested in leveraging procedural generation to create diverse training environments, to better investigate the limitations of current algorithms and the factors that lead to overfitting.

20 June

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Jacob Andreas

Senior Researcher
Microsoft Semantic Machines
Jacob Andreas is an assistant professor at MIT and a senior researcher at Microsoft Semantic Machines. His research focuses on language learning as a window into reasoning, planning and perception, and on more general machine learning problems involving compositionality and modularity. Jacob earned his Ph.D. from UC Berkeley, his M.Phil. from Cambridge (where he studied as a Churchill scholar) and his B.S. from Columbia. He has been the recipient of an NSF graduate fellowship, a Facebook fellowship, and paper awards at NAACL and ICML.

20 June

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Ashley Edwards

Research Scientist
Uber AI Labs
Ashley Edwards is a research scientist at Uber AI Labs and recently obtained her PhD in computer science from Georgia Tech. Her research focuses on deep reinforcement learning, imitation learning, and model-based RL problems, with an emphasis on developing general goal representations that can be used across task environments. During her time as a PhD student at Georgia Tech, she was a recipient of the NSF Graduate Research Fellowship, was a visiting researcher at Waseda University in Japan as part of the NSF Grow program, and interned at Google Brain. She received a B.S. in Computer Science from the University of Georgia in 2011.

20 June

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Dhruv Batra

Assistant Professor/Research Scientist
Georgia Tech/FAIR
Dhruv Batra is an Assistant Professor in the School of Interactive Computing at Georgia Tech and a Research Scientist at Facebook AI Research (FAIR). His research interests lie at the intersection of machine learning, computer vision, natural language processing, and AI, with a focus on developing intelligent systems that are able to concisely summarize their beliefs about the world with diverse predictions, integrate information and beliefs across different sub-components or `modules' of AI (vision, language, reasoning, dialog), and interpretable AI systems that provide explanations and justifications for why they believe what they believe. In past, he has also worked on topics such as interactive co-segmentation of large image collections, human body pose estimation, action recognition, depth estimation, and distributed optimization for inference and learning in probabilistic graphical models. He is a recipient of the Office of Naval Research (ONR) Young Investigator Program (YIP) award (2017), the Early Career Award for Scientists and Engineers (ECASE-Army) (2015), the National Science Foundation (NSF) CAREER award (2014), Army Research Office (ARO) Young Investigator Program (YIP) award (2014), Outstanding Junior Faculty awards from Virginia Tech College of Engineering (2015) and Georgia Tech College of Computing (2018), two Google Faculty Research Awards (2013, 2015), Amazon Academic Research award (2016), Carnegie Mellon Dean's Fellowship (2007), and several best paper awards (EMNLP 2017, ICML workshop on Visualization for Deep Learning 2016, ICCV workshop Object Understanding for Interaction 2016) and teaching commendations at Virginia Tech. His research is supported by NSF, ARO, ARL, ONR, DARPA, Amazon, Google, Microsoft, and NVIDIA. Research from his lab has been extensively covered in the media (with varying levels of accuracy) at CNN, BBC, CNBC, Bloomberg Business, The Boston Globe, MIT Technology Review, Newsweek, The Verge, New Scientist, and NPR. From 2013-2016, he was an Assistant Professor in the Bradley Department of Electrical and Computer Engineering at Virginia Tech, where he led the VT Machine Learning & Perception group and was a member of the Virginia Center for Autonomous Systems (VaCAS) and the VT Discovery Analytics Center (DAC). From 2010-2012, he was a Research Assistant Professor at Toyota Technological Institute at Chicago (TTIC), a philanthropically endowed academic computer science institute located on the University of Chicago campus. He received his M.S. and Ph.D. degrees from Carnegie Mellon University in 2007 and 2010 respectively, advised by Tsuhan Chen. In past, he has held visiting positions at the Machine Learning Department at CMU, CSAIL MIT, Microsoft Research, and Facebook AI Research.

21 June

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Dawn Song

Professor
UC Berkeley
Dawn Song is a Professor in the Department of Electrical Engineering and Computer Science at UC Berkeley. Her research interest lies in deep learning, security, and blockchain. She has studied diverse security and privacy issues in computer systems and networks, including areas ranging from software security, networking security, distributed systems security, applied cryptography, blockchain and smart contracts, to the intersection of machine learning and security. She is the recipient of various awards including the MacArthur Fellowship, the Guggenheim Fellowship, the NSF CAREER Award, the Alfred P. Sloan Research Fellowship, the MIT Technology Review TR-35 Award, the Faculty Research Award from IBM, Google and other major tech companies, and Best Paper Awards from top conferences in Computer Security and Deep Learning. She is an IEEE Fellow. She is ranked the most cited scholar in computer security (AMiner Award). She obtained her Ph.D. degree from UC Berkeley. Prior to joining UC Berkeley as a faculty, she was a faculty at Carnegie Mellon University from 2002 to 2007. She is also a serial entrepreneur.

20 June

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Bastiane Huang

Product Lead
Osaro
Bastiane Huang leads product strategy at Osaro, a San Francisco based company building Deep Reinforcement Learning software for industrial robots, backed by Peter Thiel and Jerry Yang’s AME Cloud. Bastiane has close to a decade of experience in the automation and manufacturing industries. Her experience in the field started in 2009 at e2v, a British space and industrial image sensor and machine vision camera manufacturer that is now part of Teledyne. She has broad experience in product marketing, business development, and operations at international technology companies across the industrial automation, IoT, AI, and robotics industries. She drove the formation and growth of a new AI software business at Advantech, the world’s biggest industrial computer manufacturer. The product offered video analytics solutions to improve traffic congestion and shopping experiences through people counting, and facial and heat map analysis. She was also an investor and advisor to early stage IoT and AI startups in the U.S. and Greater China, and previously worked as a Senior Product Manager at Amazon Alexa. In addition, she is actively involved with Harvard’s ‘Managing the Future of Work’ initiative on AI and robotics, writing case studies and articles for Harvard Business Review and Robotics Business Review. Bastiane holds a B.S. in Information Management (2009) from National Taiwan University and an M.B.A in Technology and Entrepreneurship (2018) from Harvard Business School.

21 June

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Jianyu Chen

Research Assistant
UC Berkeley
Jianyu Chen is currently a Ph.D. candidate in Mechanical Engineering at University of California, Berkeley (UC Berkeley). He works with Prof. Masayoshi Tomizuka in Mechanical Systems Control (MSC) Laboratory at UC Berkeley starting from 2015. Prior to UC Berkeley, Jianyu received the B.Eng. degree in Mechanical Engineering from Tsinghua University, Beijing, China. Jianyu's research interests focus on designing decision making systems for autonomous vehicles, with approaches ranging from classical robotics motion planning and control to learning-based techniques such as deep reinforcement learning, imitation learning, and unsupervised learning.

21 June

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Bilal Farooq

Assistant Professor in Transportation Engineering
Ryerson University
Bilal Farooq is Canada Research Chair in Disruptive Transportation Technologies and Services. He is currently an Assistant Professor at Ryerson University and Founding Director of Laboratory of Innovations in Transportation (LiTrans). He has received the Early Researcher Award both in the province of Québec (2014) and Ontario (2018). He has published more than 80 research articles in top-tier peer-reviewed international journals and conferences. Bilal is interested in understanding the network and behavioural effects of connected and automated vehicles and in developing the associated algorithms and models.

20 June

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Stephan Zheng

Machine Learning Research Scientist
Salesforce
Stephan Zheng is a research scientist at Salesforce Research, where he focuses on deep reinforcement learning and multi-agent learning. He has also worked on improving the robustness of deep learning, detecting adversarial examples and hierarchical models for human behavioral and spatiotemporal data. Stephan obtained his PhD in 2018 in the Machine Learning group at Caltech, advised by Yisong Yue. Before that, he completed an MSc in Theoretical Physics and BSc in Physics/Mathematics at Utrecht University, Part III Mathematics at the University of Cambridge, and was a visiting student at Harvard University. He received the 2011 Lorenz Prize in Theoretical Physics from the Dutch Academy of Arts and Sciences for his thesis on exotic dualities in topological quantum field theory, and was twice a research intern with Google Research and Google Brain.

21 June

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Jeff Clune

Senior Research Manager
Uber AI Labs
Jeff Clune is the Loy and Edith Harris Associate Professor in Computer Science at the University of Wyoming and a Senior Research Scientist and founding member of Uber AI Labs. He focuses on robotics, reinforcement learning, and training neural networks either via deep learning or evolutionary algorithms. He has also researched open questions in evolutionary biology using computational models of evolution, including the evolutionary origins of modularity, hierarchy, and evolvability. Prior to becoming a professor, he was a Research Scientist at Cornell University, received a PhD in computer science and an MA in philosophy from Michigan State University, and received a BA in philosophy from the University of Michigan.

20 June

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Joren Gijsbrechts

PhD Student
Research Centre for Operations Management, Leuven
Joren Gijsbrechts is a PhD student at the Operations Management department of the Faculty of Economics and Business, KU Leuven. He obtained his Master’s degree in Business Engineering, majoring in transportation and logistics, and worked two years in the consumer goods industry prior to starting his PhD. Joren develops applied models and tools to optimize operations management problems such as inventory control, transport mode choice decisions, reducing variability in the supply chain and offshoring. His main methodological focus consists of optimization methods combining machine learning (reinforcement learning or approximate dynamic programming), simulation, (mixed) integer programming and stochastic programming. In addition to research, Joren provides lectures and courses on the impact of the latest machine learning algorithms on the field of operations management.

20 June

21 June

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Alex Irpan

Software Engineer
Google Brain
Alex Irpan is a software engineer at Google Brain, where he works on ways to apply deep reinforcement learning to robotics and other real-world problems. His research focuses on ways to leverage real-world data as much as possible for robotic manipulation problems, through techniques like transfer learning and off-policy learning. He received his BA in computer science from UC Berkeley in 2016, where he did undergrad research in the Berkeley AI Research Lab, mentored by Pieter Abbeel and John Schulman.

20 June

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Franziska Meier

Research Scientist
Facebook
Franziska Meier is a research scientist at Facebook AI Research. Previously she was a research scientist at the Max-Planck Institute for Intelligent Systems and a postdoctoral researcher with Dieter Fox at the University of Washington, Seattle. She received her PhD from the University of Southern California, where she defended her thesis on “Probabilistic Machine Learning for Robotics” in 2016, under the supervision of Prof. Stefan Schaal. Prior to her PhD studies, she received her Diploma in Computer Science from the Technical University of Munich. Her research focuses on machine learning for robotics, with a special emphasis on lifelong learning for robotics.

20 June

21 June

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Dumitru Erhan

Staff Research Scientist
Google Brain
Dumitru Erhan is a Staff Research Scientist in the Google Brain team in San Francisco. He received a PhD from University of Montreal (MILA) in 2011 with Yoshua Bengio, where he worked on understanding deep networks. Afterwards, he has done research at the intersection of computer vision and deep learning, notably object detection (SSD), object recognition (GoogLeNet), image captioning (Show & Tell), visual question-answering, unsupervised domain adaptation (PixelDA), active perception and others. Recent work has focused on video prediction and generation, as well as its applicability to model-based reinforcement learning. He aims to build and understand agents that can learn as much as possible to self-supervised interaction with the environment, with applications to the fields of robotics and self-driving cars.

21 June

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Jianlan Luo

PhD Student
UC Berkeley
Jianlan Luo is currently a fourth-year Ph.D. candidate at UC Berkeley in Mechanical Engineering Department and a master student at Computer Science department with Professor Pieter Abbeel. His research interests include representation learning, reinforcement learning, robotics, and their intersections.

21 June

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Peter Henderson

PhD Student
Stanford University
Peter Henderson is currently a PhD Student at Stanford University. His research has ranged across various topics in reinforcement learning and natural language processing, often diving into best practices and methods for experimental research. Previously, he received a Masters in Computer Science at McGill University under the supervision of David Meger and Joelle Pineau. In industry, he has worked as Software Engineer at Amazon AWS and an Applied Scientist at Amazon Alexa.

20 June

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Lucas Ives

Engineering Manager
Apple
Engineering Manager at Apple, ex-VP of Engineering at PullString, ex-Pixar R&D/Global Technology lead, developer of the Erskine Essentials Play-along and PolyNome iOS apps, drummer. Specialties include computer conversation, 3D graphics (procedural character deformation, modeling and simulation software, animation tools), real-time audio systems programming, and optimization.

20 June

21 June

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Davis Sawyer

Co-founder & Product Lead
Deeplite
Davis is Co-founder & Product Lead at Deeplite, a Montreal-based AI startup. He leads a team leveraging years of research from the Brown University SCALE Lab, USC and Deeplite on new developments in reinforcement learning to provide flexible and powerful deep learning optimization software for industry. Davis also works with industry leaders in consumer, automotive and IoT markets to find new ways to make deep learning more affordable. Prior to Deeplite, Davis co-founded a fintech startup and developed statistical models for drug safety at Takeda Oncology.

21 June

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Sherif Goma

N.A. Cognitive & Analytics Leader
IBM Services
Sherif partners with C-suite leaders to solve complex business challenges leveraging cognitive, Watson AI and advanced analytics strategies and technologies. He is a proven innovator across data science and hardware with more than twenty patents in his name. He has led teams across a number of disciplines including strategy, advanced analytics and AI, management consulting, research, and manufacturing.

20 June

20 June

IBM Services.pdf Download Link
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Andrew Tulloch

Research Engineer
Facebook
I'm a research engineer at Facebook, working on the Facebook AI Research and Applied Machine Learning teams to drive the large amount of AI applications at Facebook. At Facebook, I've worked on the large scale event prediction models powering ads and News Feed ranking, the computer vision models powering image understanding, and many other machine learning projects. I'm a contributor to several deep learning frameworks, including Torch and Caffe. Before Facebook, I obtained a masters in mathematics from the University of Cambridge, and a bachelors in mathematics from the University of Sydney.

20 June

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Yixuan Li

Research Scientist
Facebook AI (Computer Vision Group)
Yixuan (Sharon) Li is a Research Scientist at Facebook AI, Computer Vision Group. She leads the research effort on large-scale visual learning with high dimensional label space. Before joining Facebook, she obtained her PhD from Cornell University in 2017. Yixuan's research interests are in developing robust, scalable and efficient machine learning algorithms and their applications. She was selected as one of the "Rising Stars in EECS" by Stanford University in 2017. She is the recipient of ACM-Women Scholarship. Previously she spent two summers interning at Google Research Mountain View in 2015 and 2016.
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Kathy Baxter

Architect, Ethical AI Practice
Salesforce
As Architect of Ethical AI Practice, Kathy collaborates with product teams and research scientists to build AI solutions across our products. She drives the internal and external training for ethics in AI and partners with external experts to help inform Salesforce's policies, practices, and products. You can read about her research on the Salesforce UX Medium channel (https://medium.com/@kathykbaxter). Kathy received her MS in Engineering Psychology and a BS degree in Applied Psychology from the Georgia Institute of Technology. She is the coauthor of, "Understanding your users: A practical guide to user research methods."

21 June

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Shaona Ghosh

Machine Learning & NLP Research
University of Cambridge
Shaona is a researcher in Machine Learning and NLP at Apple Inc. Previously, she was a postdoc at the Department of Engineering, University of Cambridge where she worked on developing deep learning sequence-to-sequence algorithms for prediction and auto-correction on keyboard decoders. Before that she was a postdoc in Machine Learning at the NVIDIA GPU Center of Excellence OeRC, University of Oxford. She has a PhD in Machine Learning from University of Southampton, UK. She was the Area Chair of Women in Machine Learning Workshop, 2017 and has been a reviewer at NIPS, Machine Learning Journal among others.
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Pavan Arora

Chief AI Officer
Aramark
Pavan recently joined Aramark as Chief AI Officer, leading innovation in data and AI. Prior to Aramark, Pavan served as Chief Data Officer at IBM Watson, responsible for making Watson smarter. He began his career as a banker at JP Morgan, then founded six tech startups which eventually led him to venture capital. Pavan spends his spare time investing in technology start-ups and advising existing cutting-edge tech companies on growth strategies. He also serves as an innovation advisor to hedge funds, the World Bank and others on monetizing data with new technology. Pavan graduated from Johns Hopkins University and the London School of Economics.

20 June

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Miao Lu

Research Scientist
Yahoo Labs
Miao is a research scientist from Yahoo Research, working on Native/Display/Search Ads Recommendation and Forecasting, leading the corporate traffic and revenue forecasting projects. He has strong interdisciplinary background in Statistics, Machine Learning and Data Mining, with wide applications in biomedical science and internet technology. Before joining Yahoo, he obtained a PhD / MS in statistics from University of Virginia, and a BS in statistics from Zhejiang University.

20 June

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Pallav Agrawal

Director, Data Science
Levi Strauss & Co.
During daytime, Pallav works as a Data Scientist and tries to extract meaningful signals from the noisy world we live in. As the moon rises and evening sets in all bets are off and one might find Pallav on his bike riding through the Berkeley hills in bright colored lycra or performing never-before-scenes of Dramedy with his Improv troupe. Pallav is a part-time Human Centered Design Thinking coach and has helped non-profits and early-age startups develop clarity on their mission and recognize growth areas. He moved to the Bay Area in 2010 and somehow managed to acquire a Masters in Structural Engineering after spending two years actually learning how to think. He is an avid follower of Seth Godin, Ken Robinson, and Nicholas Taleb, and is currently looking at ways to explain algorithms through cute, anthropomorphized animals.

20 June

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Ankit Jain

Sr Data Scientist
Uber
Ankit currently works as a Senior Research Scientist at Uber AI Labs, the machine learning research arm of Uber. His work primarily involves the application of Deep Learning methods to a variety of Uber’s problems ranging from forecasting, food delivery to self driving cars. Previously, he has worked in variety of data science roles at Bank of America, Facebook and other startups. He has co-authored a book on machine learning titled “Tensorflow Machine Learning Projects”. Additionally, he has been a featured speaker in many of the top AI conferences and universities across US including UC Berkeley, OReilly AI conference etc. He completed his MS from UC Berkeley and BS from IIT Bombay (India).

20 June

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Tulsee Doshi

Product Lead for ML Fairness
Google
Tulsee is the Product Lead for Google’s ML Fairness Effort. In this role, she leads the development of Google-wide resources and best practices for developing more inclusive and diverse products. Prior to ML Fairness, Tulsee worked on the YouTube recommendations team. She received her BS in Symbolic Systems and MS in Computer Science from Stanford University.

20 June

20 June

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Chul Lee

Head of Service & Data Intelligence
Samsung Electronics
Chul is head of service & data intelligence for the visual display division of Samsung Electronics, currently leading different service & data intelligence projects by applying various ML/AI, data science, and computer vision techniques to solve different technical problems in IofT, device experience and media consumption. Prior to Samsung, he led different teams and projects related to health & fitness at Under Amour, and content personalization at LinkedIn. He obtained his Ph.D in Computer Science at the University of Toronto.

20 June

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Vivek Kumar

Director, Applied AI
Dolby Laboratories
Vivek Kumar is Director, Applied AI at Dolby Laboratories where he leads a team of researchers and developers focused on creating technology based on Deep Learning for speech, NLP and Audio. He is also responsible for understanding the implications of recent advances and developing an AI strategy for Dolby. The team he previously led was responsible for the development of DD+, Dolby TrueHD and Dolby Atmos for Home, the next-generation audio and surround sound technologies for which Dolby is widely recognized. Vivek is a lifelong maker, and his compulsion to “build, break and hack” is a trait that extends beyond his workday. As an Angel Investor (https://www.crunchbase.com/person/vivek-kumar-a65c ), he has invested in several early-stage ventures and continues to provide mentoring and strategy development for startups. Passionate about creative applications of Deep Learning, in 2015 he created ColorizeBot ( https://twitter.com/ColorizeBot), a twitter bot to colorize black & white photos.

20 June

21 June

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Andrew Byrnes

Investment Director
Comet Labs
As Investment Director for Comet Labs, Andrew invests in and supports the best early-stage AI and robotics startups that transform big industries. His focus is in deep tech, industrial automation, and computing hardware that enable the next wave of machine learning innovation. Prior to Comet, Andrew was the founder of Stower Energy - an early startup leveraging machine learning to provide predictive operations and maintenance for distributed energy systems - and project manager for utility scale power developer the Martifer Group. He did his graduate work in Materials Science and Engineering at Stanford University, and enjoys his limited peaceful moments in the quiet fog of Pacifica.

21 June

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Rein Houthooft

Head of AI
Happy Elements
Rein Houthooft leads Happy Elements AI Team. Originally from Belgium (EU), Rein received his PhD in EECS from Ghent University. Part of his research was conducted as a researcher at OpenAI and at the Berkeley AI Research lab of UC Berkeley, with a focus deep reinforcement learning and generative models. Previously, Rein was involved in the organization of the annual NeurIPS Deep RL Workshop.

21 June

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Kay Firth-Butterfield

Head of AI & ML
World Economic Forum
I am the Head, Artificial Intelligence and Machine Learning, at the Center for the Fourth Industrial Revolution at the World Economic Forum. Prior to taking this position I was Executive Director of AI-Global and led the Ethics Advisory Panel of Lucid.ai.I have worked for the past three decades as a barrister, mediator, arbitrator, business owner, professor and judge in the United Kingdom. In the United States, I have taught at the undergraduate and law school levels and worked as a professional lecturer. I am a humanitarian with a strong sense of social justice and have advanced degrees in Law and International Relations. In my role as Chief officer of the EAP I have advised governments, think tanks and non-profits about artificial intelligence. I am co-founder of the Consortium for Law and Policy of Artificial Intelligence and Robotics at the Robert E. Strauss Center, University of Texas and teach a course at the UT Law School for the Consortium: "Artificial Intelligence and emerging technologies: Law and Policy". Additionally, I am a Distinguished Scholar of the Robert E Strauss Center at the University of Texas and Vice Chair of the IEEE Industry Connections "Global Initiative for Ethical Considerations in the Design of Autonomous Systems.
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Hao Yi Ong

Research Scientist
Lyft
Hao Yi is a Research Scientist at Lyft. On the Driver Positioning team, Hao Yi leads the development of the optimization framework and models that power the Personal Power Zones and Hot Spots products that replaces the Driver Prime Time dynamic pricing experience. Previously, Hao Yi combated transaction and driver fraud on the Integrity team. There, he championed new approaches and led ML improvements that helped Lyft achieve best-in-class status in fraud rate within the ridesharing industry. On Support Experience, Hao Yi developed deep learning models for support ticket classification and routing that led to massive reductions in false positive tickets and manual ticket re-routing. Before Lyft, Hao Yi worked on drone traffic management with NASA Ames as a graduate at Stanford.

20 June

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Andrew Zhai

Staff Software Engineer
Pinterest
Andrew is a software engineer and currently leading the visual search project at Pinterest. He studied computer science at Berkeley (BS in CS) and Stanford (MS in CS). He is currently working extensively with the Berkeley Caffe team to scale up deep learning to the task of large-scale visual search.

21 June

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Alex Liang

Data Scientist
American Tire Distributors
I am a physicist/mathematician turned computer scientist, and then later turned machine learning enthusiast. Through my years working as a data scientist, I develop and deploy machine learning solutions to solve real world business problems, such as using LSTM to forecast staffing needs, using xgboost models to execute real-time online customer behavior classifications. As data scientist #2, I joined American Tire Distributors 12 months ago and helped grow the data science team to a size of 12 within a year; and we are now developing machine learning solutions to help the company in supply chain, sales, warehousing, as well as eCommerce.

21 June

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Ajay Malik

Head of AI
View
Former Head of Architecture/Engineering of Worldwide Corporate Network at Google, Ajay is a technologist, business futurist, & prolific inventor with about 90 patents pending/issued specializing in artificial intelligence, Wi-Fi networking, Quantum computing, and Real Time Location. He is author of “RTLS for Dummies”, “Augmented Reality for Dummies” & “Artificial Intelligence for Wireless Networking”. Ajay Malik is Head of Artificial Intelligence at View, Inc. Prior to that, Ajay was the CEO & Founder of Oro Networks, a company developing a Smart Building AI Assistant. Before starting ORO, Ajay was head of architecture and engineering for the worldwide corporate network at Google. Ajay has also held executive leadership positions at Meru Networks, Hewlett-Packard, Cisco, and Motorola. He completed B.E in Computer Science & Technology from IIT, Roorkee, India.

20 June

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Raghav Ramesh

Machine Learning Engineer
DoorDash
Raghav Ramesh is the lead machine learning engineer at DoorDash working on its logistics engine, where he focuses on core AI problems: vehicle routing, Dasher assignments, delivery time predictions, demand forecasting, and pricing. Previously, Raghav worked on various data products at Twitter, including recommendation systems, trends ranking, and growth analytics. He holds an MS from Stanford University, where he focused on artificial intelligence and operations research.

21 June

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Jeffrey Shih

Senior Product Manager
Unity Technologies
Jeff is a Senior Product Manager with the AI team at Unity Technologies. Jeff is responsible for driving product strategy and partnerships for Unity Machine Learning Agents, a toolkit that allows Unity game developers to leverage the latest advancements in deep learning. Prior to joining Unity Technologies, Jeff was a lead for cloud intelligence products at Microsoft and a main contributor to Deloitte’s Advanced Analytics practice. Jeff has spent his entire career at the intersection data, technology, and business. Jeff holds a BS in Electrical Engineering and MBA from the University of Texas at Austin

20 June

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Li Sun

Partner
Foundation Capital
Li Sun is a Partner at Foundation Capital. She is passionate about technology breakthroughs that solve the world’s most critical problems. At Foundation, she focuses on frontier tech startups covering areas such as AI enabled services, automation, space tech, smart manufacturing, computational technologies, food tech and everything frontier that doesn’t fit into the general categories. Prior to Foundation, she was at Bessemer Venture Partners covering the same space. Her past investments include a conversational AI chatbot company that was acquired by Apple and a robotic fish farming company that just raised a growth round. Dr. Sun has a PhD in Applied Physics from Harvard University, a master’s in Materials Sciences from MIT and a college degree in EE and Business from Singapore.

21 June

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Will Cappelli

CTO, EMEA & VP of Product Strategy
Moogsoft
Will Cappelli studied math and philosophy at university, has been involved in the IT industry for over 30 years, and for most of his professional life has focused on both AI and IT operations management technology and practices. As an analyst and former VP of Research at Gartner he is widely credited for having been the first to define the AIOps market and has recently joined Moogsoft as CTO, EMEA and VP of Product Strategy. In his spare time, he dabbles in ancient languages.

20 June

20 June

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Wayne Thompson

Chief Data Scientist
SAS
I am a globally renowned presenter, teacher, practitioner and innovator in the fields of artificial intelligence and machine learning. I've had the pleasure of working alongside some of the world's biggest and most challenging organizations to help them harness analytics to build high performing organizations. Over the course of my 25-year tenure at SAS I helped bring several market landmark SAS analytics technologies to market ). My current focus initiatives include easy to use self-service cognitive computing tools for business analysts, deep learning, and self-service machine learning APIs. My goal at SAS is to embed AI throughout our software and enable the human to truly have a useful fun interaction with the machine. I received my Ph.D. and M.S from the University of Tennessee in 1992 and 1987, respectively. During my PhD program, I was also a visiting scientist at the Institut Superieur d'Agriculture de Lille, Lille, France.

20 June

20 June

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Yue Weng

Sr. Data Scientist, NLP/Conversational AI
Uber
Yue is a senior data scientist on Uber's Conversational AI team leading the effort in the domains of deep learning, natural language processing, conversational AI systems, streaming analytics, and real-time monitoring systems.

20 June

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Douglas Eck

Principal Scientist
Google
I’m a research scientist working on Magenta, a research project exploring the role of machine learning in the process of creating art and music. Primarily this involves developing new deep learning and reinforcement learning algorithms for generating songs, images, drawings, and other materials. But it's also an exploration in building smart tools and interfaces that allow artists and musicians to extend (not replace!) their processes using these models. Started by me in 2016, Magenta now involves several researchers and engineers from the Google Brain team as well as many others collaborating via open source. Aside from Magenta, I'm working on sequence learning models for summarization and text generation as well new ways to improve AI-generated content based on user feedback.

20 June

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Mostafa Mousavi

Postdoc Research Fellow
Stanford University
Mostafa Mousavi received the M.S. degree in Risk Engineering from the University of Tehran, Tehran, Iran in 2010 and the M.S. and Ph.D. degrees in geophysics from University of Memphis, TN, USA in 2017. He is currently a Postdoctoral Research Fellow at Stanford University, CA, USA. He is the author of one book, 20 journals, and 3 conference papers. His research interests include machine learning/deep learning, signal processing, statistical seismology, and observational earthquake seismology. Dr. Mousavi is a fellow of the National Elite Foundation of Iran and a recipient of SEP/SEG award by ExxonMobil in 2014.

21 June

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Prabhat

Group Lead, Data & Analytics
Lawrence Berkeley National Lab
Prabhat leads the Data and Analytics Services team at NERSC. His current research interests applied statistics, machine learning, and high performance computing. He has worked on topics in scientific data management, parallel I/O, scientific visualization, computer graphics and computer vision in the past. Prabhat received an ScM in Computer Science from Brown University (2001) and a B.Tech in Computer Science and Engineering from IIT-Delhi (1999). He is currently pursuing a PhD in the Earth and Planetary Sciences Department at U.C. Berkeley.

20 June

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Bistra Dilkina

Assistant Professor
USC
Starting Spring 2018, Bistra Dilkina is a Gabilan Assistant Professor of Computer Science at the University of Southern California. She is also an Associate Director of the Center for AI in Society (CAIS). Before that, Dilkina was as an Assistant Professor in the College of Computing at the Georgia Institute of Technology and a co-director of the Data Science for Social Good Atlanta summer program. She received her PhD from Cornell University in 2012, and was a Post-Doctoral Associate at the Institute for Computational Sustainability until 2013. Dilkina is one of the junior faculty leaders in the young field of Computational Sustainability, and has co-organized workshops, tutorials, special tracks at AAAI and doctoral consortium on Computational Sustainability. Her work spans discrete optimization, network design, stochastic optimization, and machine learning.

20 June

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Ajay Chander

Vice President of Research
Fujitsu Labs of America

Ajay Chander leads R&D teams in imagining and building new human-centric technologies and products.His work has spanned transparent AI, AI life assistants, digital healthcare and wellness, software security, and computational behavior design.He has received several best paper awards, as well as the ACM’s “Most Influential Paper” (of the decade) award. Previously, he received his PhD from Stanford University.Currently, Dr. Chander serves as the Vice President of Research at Fujitsu’s R&D lab in Silicon Valley and provides technical and thought/strategy leadership for all aspects of the interplay between technology and the human experience.

20 June

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George Kantor

Founder
Farmview
George Kantor is a Senior Systems Scientist at Carnegie Mellon University’s Robotics Institute. He has 20 years of experience research in developing and deploying robotic technologies for real-world applications such as agriculture, mining, and scientific exploration. He also is dedicated to K-12 STEM educational outreach activities. Kantor hold B.S. in Electrical Engineering from Michigan State University, and M.S. and Ph.D. degrees in Electrical and Computer Engineering from the University of Maryland College Park.

21 June

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Erin Kenneally

Cyber Security
U.S. Dept of Homeland Security
Erin Kenneally is currently serving out her role as Program Manager in the Cyber Security Division for the U.S. Dept of Homeland Security, Science & Technology Directorate. Her portfolio comprises cybersecurity research infrastructure, privacy, cyber risk conomics, and technology ethics. She manages the IMPACT (Information Marketplace for Policy and Analysis of Cyber-risk and Trust), CYRIE (Cyber Risk Economics), and Data Privacy programs. Kenneally is Founder and CEO of Elchemy, Inc., and served as Technology-Law Specialist at the International Computer Science Institute (ICSI) and the Center for Internet Data Analysis (CAIDA) and Center for Evidence-based Security Research (CESR) at the University of California, San Diego. Erin is a licensed Attorney specializing in information technology law, including privacy technology, data protection, artificial intelligence ethics and legal risk, trusted information sharing, technology policy, cybercrime, data ethics, and emergent IT legal risks. She holds Juris Doctorate and Masters of Forensic Sciences degrees and is a graduate of Syracuse University and The George Washington University.

21 June

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Carlos Felipe Gaitan Ospina

AI Chair
American Meteorological Society
Dr. Gaitan did his doctoral studies at the University of British Columbia (Vancouver, Canada) working with William Hsieh in machine learning applications in the environmental sciences. He also holds a Bachelor degree in Civil Engineering and a Master degree in Hydrosystems from the Pontificia Universidad Javeriana (Bogota, Colombia). He is a member of the American Meteorological Society’s (AMS) Artificial Intelligence Committee. He previously worked as a VP of Weather Forecasting at Arable Labs and as Research Scientist for the South Central Climate Science Center at the Geophysical Fluid Dynamics Laboratory (GFDL) in Princeton, New Jersey.

21 June

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Pushpendra Rana

Postdoctoral Researcher
University of Illinois
I am an interdisciplinary environmental social scientist interested in evaluating and predicting the impacts of forest conservation policies at local and global scales to build knowledge on sustainable Social-Ecological Systems (SESs). I am particularly interested in exploring use of artificial intelligence and machine learning approaches in environmental sciences especially in the fields of policy impact evaluation, forest conservation and management. I have also experience in using advanced spatial analytical techniques, machine learning and causal inference based statistical approaches to explore research objectives in the field of environmental and forest governance.
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Sriraam Natarajan

Associate Professor
University of Texas
Sriraam Natarajan is an Associate Professor at the Department of Computer Science at University of Texas Dallas. He was previously an Associate Professor and earlier an Assistant Professor at Indiana University, Wake Forest School of Medicine, a post-doctoral research associate at University of Wisconsin-Madison and had graduated with his PhD from Oregon State University. His research interests lie in the field of Artificial Intelligence, with emphasis on Machine Learning, Statistical Relational Learning and AI, Reinforcement Learning, Graphical Models and Biomedical Applications. He has received the Young Investigator award from US Army Research Office, Amazon Faculty Research Award, Intel Faculty Award, XEROX Faculty Award and the IU trustees Teaching Award from Indiana University. He is an editorial board member of MLJ, JAIR and DAMI journals and is the electronics publishing editor of JAIR. He is the organizer of the key workshops in the field of Statistical Relational Learning and has co-organized the AAAI 2010, the UAI 2012, AAAI 2013, AAAI 2014, UAI 2015 workshops on Statistical Relational AI (StarAI), ICML 2012 Workshop on Statistical Relational Learning, and the ECML PKDD 2011 and 2012 workshops on Collective Learning and Inference on Structured Data (Co-LISD). He was also the co-chair of the AAAI student abstract and posters at AAAI 2014 and AAAI 2015 and the chair of the AAAI students outreach at AAAI 2016 and 2017.

21 June

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Eddan Katz

Project Lead: AI & ML
World Economic Forum
Eddan Katz is the Project Lead on Digital Protocol Networks at the World Economic Forum, where he facilitates the norms-setting process and dissemination of the protocols advanced by the projects at the Center for the Fourth Industrial Revolution. Eddan has previously served as the International Affairs Director at the Electronic Frontier Foundation, where he worked on advocacy initiatives at international multi-stakeholder decision-making bodies in the areas of cybercrime, data privacy, intellectual property, and freedom of expression. He was the first Executive Director of the Information Society Project at Yale Law School where he taught Cyberlaw and founded the Access to Knowledge initiative. He has a J.D. from UC Berkeley Law School and a B.A. in Philosophy from Yale.

21 June

21 June

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Danielle Deibler

Co-Founder & CEO
Marvelous.ai
Marvelous.ai is developing natural language tools to analyze political discourse in news and social media . We are particularly focused on how messaging spreads, both negatively (propaganda) and positively (pro-democracy campaigns). In this talk, we will describe our approach to detecting political narratives utilizing human-in-the-loop alongside other natural language processing techniques, with examples focused on the 2020 US presidential election. Our demo will focus on the political bias of the tweeters and asymmetries in coverage of male vs. female candidates.

21 June

21 June

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Volodymyr Kuleshov

Co-Founder & CTO
Afresh
Volodymyr Kuleshov is the co-founder and CTO of Afresh, a startup that uses AI to fight food waste. He obtained his Ph.D. in Computer Science from Stanford University, where he was the recipient of the Arthur Samuel Best Thesis Award. Volodymyr’s work has been featured in Nature Biotechnology, Nature Medicine, Nature Communications and Scientific American and was awarded an NSERC Post-Graduate Fellowship and a Stanford Graduate Fellowship. He is also a co-inventor of the machine learning technology that powers the phased genome sequencing product of Illumina Inc, following its acquisition of the Stanford spin-off Moleculo.

21 June

21 June

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Anthony Perez

Machine Learning Engineer
Atlas AI
Anthony is a Machine Learning Engineer at AtlasAI, a small tech startup funded by the Rockefeller Foundation that generates actionable intelligence on agricultural and economic trends across the developing world. He graduated with an M.S. in Computer Science from Stanford University in 2018. At Stanford University he was a member of the Sustainability and Artificial Intelligence Lab. His is interested in deep learning and sustainability.

21 June

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Carla Bromberg

Co-Founder & Program Lead of AI for Social Good
Google
Carla Bromberg is the co-founder and Program Lead of AI for Social Good at Google. This program applies core Google research and engineering efforts to projects that help address some of the world’s greatest social, humanitarian and environmental challenges, and empowers the ecosystem with tools and resources through AI for Social Good initiatives, such as the $25M Google AI Impact Challenge. In addition to program managing the overall initiative, Carla's worked on many of the program’s engineering and research projects, including flood forecasting, famine prediction, and bioacoustics.

Carla has worked at Google for over 12 years. Prior to her current role, she was the program management lead across Google's company-wide engineering internal education, content development and documentation programs. Building strategic programs to help engineers learn about the latest technologies and best practices. Carla obtained a B.S. degree from Marymount Manhattan College, and was awarded the distinction of the MMC Crest, and a Gold Key award for academic excellence. Carla sits on the Business Advisory Board for Marymount Manhattan College.

20 June

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Amulya Yadav

Assistant Professor
Penn State University
Amulya Yadav is an Assistant Professor in the College of Information Sciences and Technology at Penn State University. He also has an affiliate faculty appointment with the USC Center for Artificial Intelligence in Society. His work in the field of Artificial Intelligence for Social Good focuses on developing theoretically grounded approaches to real-world problems that can have an impact in the field. Amulya's work has been highlighted by Mashable.com as one of "26 incredible innovations that improved the world in 2015". Amulya holds a Ph.D. in Computer Science from the University of Southern California, and a Bachelors from IIT Patna.

21 June

21 June

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Brigitte Hoyer Gosselink

Head of Product Impact
Google.org
Brigitte Gosselink is Head of Product Impact at Google.org, where she leads initiatives that leverage emerging technologies and Google’s expertise to address global challenges. She is currently focused on how AI can be used for social impact through efforts like the $25M Google AI Impact Challenge. She previously lead programs focused on how technology can improve global education, innovation for people with disabilities, and crisis response. Prior to Google.org, Brigitte was a strategy consultant for nonprofits and foundations at The Bridgespan Group and worked for the U.S. Agency for International Development and International Relief and Development, focusing on innovative approaches in post-conflict transitions. She has an MBA from the Yale School of Management and a BS in Systems Engineering from the University of Virginia.

20 June

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Preetham Vishwanatha

VP of AI
Course Hero
Preetham Vishwanatha is the Vice President of Artificial Intelligence and Machine Learning at Course Hero, an online learning platform where members can access over 20 million course-specific study resources contributed by a community of students and educators. Preetham joined Course Hero from global mobile advertising and marketing platform InMobi, and is responsible for building Course Hero’s Artificial Intelligence capability, including engineering, platforms, and research to enable semantic and narrative intelligence around educational content and learning experiences for students. This includes leading the build and operationalization of a semantic knowledge graph that will enable AI to autonomously tailor bespoke learning experiences personalized to individual student needs, learning styles, and skills.
In the past 20 years, Preetham has built large-scale machine intelligence platforms for evidence-driven decision-making in ad tech, commerce exchanges, retail demand chain solutions, and cloud-based analytics domains. He brings distinguished expertise in stochastic optimization for large-scale systems, vision computing, and computational linguistics. He is a published author and accomplished speaker.

21 June

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Huaixiu Zheng

Tech Lead
Uber AI
Huaixiu Zheng is currently a Tech Lead on Uber AI’s Conversational AI Data Science Team focusing on applications and applied research of Natural Language Processing, Deep Learning and Conversational AI Systems. He is driving several ongoing efforts at Uber in using machine-learning based AI technologies to empower business use cases, in the domains of customer support, smart-reply systems, and task-oriented Conversational AI systems. He received his PhD in Quantum Physics and Quantum Computation from Duke University. He has published 30+ papers in prestigious journals and conferences such as Nature, Nature Physics, Physical Review Letters and KDD etc.

21 June

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Deval Pandya

Data Scientist
Shell
Deval is a Data Scientist at Data Science CoE in Shell and one of the 100 global Future Energy Leader at World Energy Council. He holds a Doctorate in Mechanical Engineering and a Masters in Aerospace engineering. Since joining Shell, he has worked on various predictive analytics problems in seismic processing, predictive maintenance, GHG accounting, soft sensors , energy platform and nature based carbon mitigation mechanism. He is passionate about the role of digitalization in Energy Transition and is co-founder of Future Energy Lions network in Shell. Deval advises PandataTech, a Houston based startup as a board member and co-leads Data science sub-committee for Houston Exponential. Outside work, he enjoys cooking, traveling and reading.

21 June

21 June

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Arjun Neervannan

Founder
detoxifAI
Arjun Neervannan is a 16 year old junior from University High School, Irvine, California. He is interested in Deep Sequence Learning, Natural Language Processing, AI Ethics, and Deep Reinforcement Learning. Over the past year, Arjun has been working under the guidance of
Prof. Sameer Singh at the University of California, Irvine, to develop a fair toxic comment classification algorithm. Using these algorithms, Arjun also created detoxifAI (www.detoxifAI.com), a toxic comment blocker available as a Chrome Extension to combat the cyberbullying crisis at schools. Previously, Arjun developed reinforcement learning models that learned to walk in a simulated environment, under the guidance of Prof. Alex Ihler at UCI, and published the results in the October 2018 issue of Baltic Journal for Modern Computing. Arjun is also a founding member and the Captain of his FIRST Robotics team that made it to the FRC (FIRST Robotics Competition) World Championships twice.

21 June

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Joshua Achiam

Research Scientist
OpenAI

20 June

21 June

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Dragutin Petkovic

Associate Chair, CS Department
San Francisco State University
Dr. Petkovic obtained his Ph.D. at UC Irvine, in the area of biomedical image processing. He spent over 15 years at IBM Almaden Research Center as a scientist and in various management roles. His contributions ranged from applications of computer vision, to multimedia and content management systems. Dr. Petkovic received numerous IBM awards for his work and became an IEEE Fellow in 1998 and IEEE LIFE Fellow in 2018 for leadership in content-based retrieval area. Dr. Petkovic also had various technical management roles in Silicon Valley startups.In 2003 Dr. Petkovic joined CS Department as a Chair and also founded SFSU Center for Computing for Life Sciences in 2005. Currently, Dr. Petkovic is the Associate Chair of the SFSU Department of Computer Science and Director of the COSE Computing for Life Sciences. With colleagues from SFSU College of Business and Department of Philosophy, Prof. Petkovic is leading new SFSU cross-college graduate certificate program in AI Ethics. Research interests of Prof. Petkovic include Machine Learning with emphasis on Explainability.

20 June

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Denise Kleinrichert

San Francisco State University
Interim Associate Dean
Dr. Kleinrichert obtained her Ph.D. from the University of South Florida, Tampa in Philosophy with a focus on Business Ethics. Her prior business career included risk management and human resources in the insurance, banking and tech recruiting sectors. She also has served as Chair of the College of Business' annual Business Ethics Week (2007-2017), is founder of the Ethics & Compliance Workshop series, co-developed the Business Certificate in Ethics & Compliance and the MBA Emphasis in Ethics & Compliance., and is the former Director, Center for Ethical & Sustainable Business at SF State University. She has focused her academic career in the areas of business ethics and compliance, corporate social responsibility (CSR), sustainability, and women social entrepreneurs. She is the current Interim Dean of the College of Business at SF State.

20 June

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Abhishek Sethi

ML Scientist
Amazon
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Peter Relan

Chairman and CEO
Got-it.ai
Peter Relan is the founding investor and chairman of breakthrough companies, including Discord (300M users), Epic! (95% of US elementary schools) and Got-it.ai (AI+Human Intelligence for Saas and Paas products). Formerly a Hewlett Packard Resident Fellow at Stanford University, and a senior Oracle executive, Peter is working with the Got It team on driving user and business productivity higher by 10X, using AI technologies that allow customers to achieve task outcomes in SaaS and PaaS products much faster, much better.

21 June

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Ananya Karthik

Student & Co-Founder
Stanford University & creAIte
Ananya Karthik is an incoming freshman at Stanford University who believes that creative thinking and diversity are essential to the future of technology. At age 15, Ananya co-founded creAIte, an AI+Art initiative that inspires traditionally underrepresented groups in artificial intelligence through neural art. creAIte organizes workshops across the country that emphasize creativity as the core of technological innovation and promote inclusion in AI. As a member of the inaugural IEEE Global Initiative’s High School Committee, Ananya enjoys discussing the ethics of AI technology, and she collaborated with faculty as the sole student representative in her school’s Innovation Committee to promote a culture of innovation on campus.

21 June

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Adam Murray

Diplomat
U.S. Department of State
Adam Murray is a career U.S. diplomat in the Office of International Communications and Information Policy at the Department of State, where he covers digital economy policy and emerging technologies. He represents the United States at the Organization for Economic Cooperation and Development (OECD) Committee on Digital Economy Policy and the Asia Pacific Economic Cooperation (APEC) Telecommunications Working Group. Previously, he has worked at the U.S. Mission to the OECD, Embassy Rangoon, and Consulate General Hong Kong. Adam holds a Master’s in Public Administration from the Harvard Kennedy School and a Bachelor of Science in Foreign Service from Georgetown University.

20 June

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Devin Krotman

Director
IBM Watson AI XPRIZE
Devin Krotman serves as the Director of both the IBM Watson AI XPRIZE and Global Learning XPRIZE. In this capacity, Mr. Krotman oversees all complex operational aspects of these large programs - including, but not limited to project management, fiscal management, knowledge management, and risk management. Mr. Krotman is passionate about tackling the world’s challenges from education to disaster prediction and firmly believes technology will help humanity get there. With nearly a decade of experience in management consulting prior to XPRIZE, Devin focuses on leveraging his problem-solving experience when it comes to helping run XPRIZE’s large scale competitions focused on innovative technology.

20 June

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Shaloo Garg

Managing Director
Microsoft for Startups
Shaloo Garg is currently Managing Director, Silicon Valley, Southwest region for Microsoft for Startups. She brings a combination of strong startup, enterprise, strategic partnership and corporate development experience. Previously, Shaloo was at Oracle at Global Oracle Innovation where she lead the Global Customer Connect practice of commercializing revenue opportunities for startups into the enterprise client base and partner ecosystem. Prior to joining Oracle, she was in a couple of early stage startups. Shaloo is passionate about education and is a “Champion of Innovation” at UN Women where she is spinning up virtual Innovation Labs with Universities leveraging emerging technologies to encourage digital literacy in developing countries for young girls who do not have access to education. Shaloo strongly believes that technology’s best user case ever is using its power to impact wider social issues like hunger, poverty, STEM education, clean water, energy, sustainable cities etc in developing and under-developed countries She is an MBA from Delhi University and has done specialization in Innovation and Design Thinking from Stanford d.School.

21 June

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Matthew Hausknecht

Researcher
Microsoft Research AI
Matthew Hausknecht is a researcher at Microsoft Research. He obtained a PhD degree in Computer Science from the University of Texas at Austin. His main research interests are in reinforcement learning and decision making in complex environments. To drive the development of reinforcement learning agents, he has helped create learning environments such as Arcade Learning Environment, Half Field Offense for simulated multi-agent soccer, and Jericho for text-based game playing.

20 June