M. Bernardine Dias is an Associate Research Professor at the Robotics Institute at Carnegie Mellon University, primarily affiliated with the Field Robotics Center. Her research focuses on culturally appropriate computing technology that is accessible and relevant to underserved communities.
Finale Doshi-Velez is an Assistant Professor of Computer Science at Harvard University. Her research in machine learning, computational statistics, and data science develops methods for turning data into actionable knowledge. She is a member of the Working Group on Explanation and the Law in the Ethics and Governance of Artificial Intelligence initiative at Harvards Berkman Klein Center for Internet & Society. Finale received her Ph.D. and M.S. in Computer Science from MIT.
Associate Professor, Department of Computer Science
Odest Chadwicke Jenkins, Ph.D., is an Associate Professor of Computer Science at Brown University. His research addresses problems in robot learning and human-robot interaction, primarily focused on robot learning from demonstration, as well as topics in computer vision, machine learning, and computer animation. He has received several prestigious research awards and National Geographic featured him as an emerging explorer. Dr. Jenkins received a Ph.D. in Computer Science from the University of Southern California and an M.S. in Computer Science from Georgia Institute of Technology.
Samuel is a sophomore at Brown University pursuing a B.A. in Science and Society and a B.A. in Computer Science. He is interested primarily in the wide-ranging effects of modern technology on day-to-day life. He most recently worked as a Senior Research Assistant in Computer Science for Browns Humanity-Centered Robotics Initiative (HCRI), studying the potential benefits and disadvantages of using anthropomorphic design in robotics.
Angelica Lim builds artificial intelligence for robots to interact with humans in a smart, fun way by combining neuroscience, machine learning, and developmental psychology to model emotion. She has a Ph.D. in Informatics from Kyoto University in Japan, where she serves as a researcher in the Okuno Speech Media Processing Lab in the Department of Intelligence Science and Technology. She currently works as a Software Engineering Manager at Aldebaran Robotics in Paris, France. Her previous creations include robots that play music in a human ensemble, speak and gesture with expression, recognize emotion in movement, and explore land and sea.
Michael L. Littmans research in machine learning examines algorithms for decision-making under uncertainty. He has earned multiple awards for teaching, and his research on meta-learning for computer crossword-solving, complexity analysis of planning under uncertainty, and algorithms for efficient reinforcement learning has been recognized with three best-paper awards. Littman has served on the editorial boards for the Journal of Machine Learning Research and the Journal of Artificial Intelligence Research. In 2013, he was general chair of the International Conference on Machine Learning and program chair of the Association for the Advancement of Artificial Intelligence Conference.
Jon is an angel investor and Footnote advisor with a background in software engineering. He has experience at large consumer software companies like Amazon and Facebook, as well as small enterprise startups in productivity and finance. At Facebook, he worked on Pages, Profiles, Events, Notifications, and Ads as the product grew from 5 million to 500 million users and the team grew from 50 to 1,500 people. Jon was a co-founder of Footnote, as well as Jackalope, an online, on-demand task outsourcing service for businesses. Most recently, he was a software engineer and head of talent for Segovia, a payment platform for NGOs and global businesses operating in developing markets. Jon holds a B.S. in Computer Science and B.A. in Comparative Literature from Brown University.