Alexandre Bayen (UC Berkeley)
Alexandre Bayen received the Engineering Degree in applied mathematics from the Ecole Polytechnique, France, in July 1998, the M.S. degree in aeronautics and astronautics from Stanford University in June 1999, and the Ph.D. in aeronautics and astronautics from Stanford University in December 2003. He was a Visiting Researcher at NASA Ames Research Center from 2000 to 2003. Between January 2004 and December 2004, he worked as the Research Director of the Autonomous Navigation Laboratory at the Laboratoire de Recherches Balistiques et Aerodynamiques, (Ministere de la Defense, Vernon, France), where he holds the rank of Major. He has been an Assistant Professor at UC Berkeley since January 2005, and an Associate Professor since 2010.
Bayen has authored one book and over 100 articles in peer reviewed journals and conferences. He is the recipient of the Ballhaus Award from Stanford University, 2004, of the CAREER award from the National Science Foundation, 2009 and he is a NASA Top 10 Innovators on Water Sustainability, 2010. His projects Mobile Century and Mobile Millennium received the 2008 Best of ITS Award for ‘Best Innovative Practice’, at the ITS World Congress and a TRANNY Award from the California Transportation Foundation, 2009. Bayen is the recipient of the Presidential Early Career Award for Scientists and Engineers (PECASE) award from the White House, 2010. Mobile Millennium has been featured more than 100 times in the media, including TV channels and radio stations (CBS, NBC, ABC, CNET, NPR, KGO, the BBC), and in the popular press (Wall Street Journal, Washington Post, LA Times).

Banavar Sridhar (NASA Ames Research Center)
Banavar Sridhar is a Senior Scientist, University Space Research Association (USRA) located in the NASA Ames Research Center, Moffett Field, CA. Earlier he served as the NASA Senior Scientist for Air Transportation Systems. His research interests are in the application of modeling and optimization techniques to aerospace systems. He has authored more than 200 publications in the areas of Air Transportation, Optimization, Data Analytics, Neural Networks, Automated Helicopter Guidance and Control Systems. Dr. Sridhar received the 2004 IEEE Control System Technology Award for his contributions to the development of modeling and simulation techniques for multi-vehicle traffic networks. He led the development of traffic flow management software, Future ATM Concepts Evaluation Tool (FACET), which received the AIAA Engineering Software Award in 2009, the NASA Invention of the Year Award in 2010 and the FAA Award for the Excellence in Aviation Research in 2010. He is a Fellow of the IEEE and the AIAA.

Lillian Ratliff (University of Washington)
Lillian (Lily) Ratliff is an Assistant Professor in the Department of Electrical Engineering at the University of Washington. She also holds an Adjunct Professor position in the Allen School of Computer Science and Engineering at UW. Prior to joining UW she was a postdoctoral researcher in EECS at UC Berkeley (2015-2016) where she also obtained her PhD (2015) under the advisement of Shankar Sastry. She holds a MS (UNLV 2010) and BS (UNLV 2008) in Electrical Engineering as well as a BS (UNLV 2008) in Mathematics. Lillian's research interests lie at the intersection of game theory, learning, and optimization. She draws on theory from these areas to develop analysis tools for studying algorithmic competition, cooperation and collusion and synthesis tools for designing algorithms with performance guarantees. In addition, she is interested in developing new theoretical models of human decision-making in consideration of behavioral factors in societal-scale systems (e.g., intelligent infrastructure, platform-based markets and e-commerce, etc.) and computational schemes to shape the outcome of competitive interactions. Lillian is the recipient of an NSF Graduate Research Fellowship (2009), NSF CISE Research Initiation Initiative award (2017), and an NSF CAREER award (2019), and the ONR Young Investigator award (2020). Lillian was also an invited speaker at the NAE China-America Frontiers of Engineering Symposium (2019) and recently awarded the Dhanani Endowed Faculty Fellowship (2020).

Forrest Laine (UC Berkeley)
Forrest Laine accepted an offer to join as an Assistant Professor of Computer Science at Vanderbilt University starting Fall 2021. He is currently a 5th-year Ph.D. candidate at UC Berkeley, advised by Professor Claire Tomlin. His research is on the design of numerical methods for the safe and effective deployment of autonomous systems. Forrest focuses predominantly on theoretic and algorithmic developments of methods related to dynamic game theory, and the application of such methods to robotic systems. Problems he is particularly interested in are those of mult-agent interaction, multiple-object tracking, trajectory optimization, and robust machine learning. Forrest is originally from Bellingham, Washington. When not doing research, he loves to spend time outside.

Icons made by Freepik from Flaticon.com