Tuesday 14 December - NeurIPS 2021
Ariel Procaccia is Gordon McKay Professor of Computer Science at Harvard University. He works on a broad and dynamic set of problems related to AI, algorithms, economics, and society. His distinctions include the Social Choice and Welfare Prize (2020), a Guggenheim Fellowship (2018), the IJCAI Computers and Thought Award (2015), and a Sloan Research Fellowship (2015). To make his research accessible to the public, he has founded the not-for-profit website Spliddit.org and he regularly contributes opinion pieces.
Bo An is a President’s Council Chair Associate Professor at Nanyang Technological University, Singapore. His current research interests include artificial intelligence, multiagent systems, computational game theory, reinforcement learning, and optimization. Dr. An received many awards including INFORMS Daniel H. Wagner Prize for Excellence in Operations Research Practice. He led the team HogRider which won the 2017 Microsoft Collaborative AI Challenge. He was named to IEEE Intelligent Systems' "AI's 10 to Watch" list for 2018.
Dorsa Sadigh is an assistant professor in Computer Science and Electrical Engineering at Stanford University. Her research interests lie in the intersection of robotics, learning, and control theory. Specifically, she is interested in developing algorithms for safe and adaptive human-robot and multi-agent interaction. Dorsa received her doctoral degree in Electrical Engineering and Computer Sciences (EECS) from UC Berkeley in 2017, and received her bachelor’s degree in EECS from UC Berkeley in 2012. She is recognized by awards such as the NSF CAREER award, the AFOSR Young Investigator award, the IEEE TCCPS early career award, MIT TR35, as well as industry awards such as the JP Morgan, Google, and Amazon faculty research awards.
Michael Muthukrishna is Associate Professor of Economic Psychology and STICERD Developmental Economics Group Affiliate at the London School of Economics, CIFAR Azrieli Global Scholar at the Canadian Institute for Advanced Research, and Technical Director of The Database of Religious History (religiondatabase.org). His research focuses on human biological and cultural evolution, how this understanding of human behavior and social change can improve innovation, reduce corruption, and increase cross-cultural cooperation. His work is featured in international and national news outlets including CNN, BBC, Wall Street Journal, The Economist, Scientific American, Nature News, and Science News, and in the UK in the Times, Telegraph, Mirror, Sun, and Guardian. Michael's research is informed by his educational background in engineering and psychology, with graduate training in evolutionary biology, economics, and statistics, and his personal background living in Sri Lanka, Botswana, Papua New Guinea, Australia, Canada, United States, and United Kingdom. He is currently working on a book to be published with MIT Press.
Pablo Samuel Castro was born and raised in Quito, Ecuador, and moved to Montreal after high school to study at McGill, eventually obtaining his masters and PhD at McGill, focusing on Reinforcement Learning. He is currently a staff research Software Developer in Google Research (Brain team) in Montreal, focusing on fundamental Reinforcement Learning research, Machine Learning and Creativity, and being a regular advocate for increasing the LatinX representation in the research community. He is also an active musician.
Cooperative AI Panel