Cecilia Aragon
Professor, Human Centered Design & Engineering
Cecilia Aragon is a professor in the department of Human Centered Design & Engineering (HCDE) and a member of the eScience Institute at the University of Washington, where she directs the Human-Centered Data Science Lab. Her research focuses on human-centered data science, which concerns itself with both the algorithms and the highly interwoven and multifaceted interactions among individuals, society, and technology that are catalyzed by the enormous growth in data that characterizes the current age.
Victor Benjamin
Assistant Professor of Information Systems, W.P. Carey School of Business
Victor Benjamin is an assistant professor of information systems at the W.P. Carey School of Business at Arizona State University. His research is in the area of natural language processing, web mining, cybersecurity, security informatics, and social media analytics.
M. Bernardine Dias
Associate Research Professor, Robotics
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.
Priya Donti
Co-founder and Executive Director, Climate Change AI (CCAI)
Assistant Professor, MIT EECS
Priya Donti is a data scientist, soon-to-be professor at MIT, and the co-founder and executive director of Climate Change AI (CCAI), a key partner in the 2023 Women in Data Science (WiDS) Datathon on using AI to predict the weather.
Finale Doshi-Velez
Assistant Professor of Computer Science
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.
Chad Jenkins
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 Kortchmar
Undergraduate student, Science and Society
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.
Katrina Ligett
Associate Professor, Computer Science
Head, Program on Internet & Society
Katrina Ligett is part of the Data Co-Ops Project, a cross-disciplinary initiative designing frameworks for data cooperatives. She is an Associate Professor of Computer Science at The Hebrew University, where she additionally serves as head of the program on Internet & Society.
Angelica Lim
Researcher, Okuno Speech Media Processing Lab
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 Littman
Professor, Computer Science
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.
Weiwei Pan
Data Science Graduate Program Advisor and Lecturer, Institute for Applied Computational Science
Weiwei is a machine learning researcher in the Data to Actionable Knowledge (DtAK) lab at Harvard. Her PhD is in pure mathematics and her current work focuses on building machine learning models with guaranteed properties that align with task-specific desiderata, such as human interpretability, risk-awareness and satisfaction of domain-specific constraints.
Jon Warman
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.