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Alex Chouldechova is a Principal Researcher in the Fairness, Accountability, Transparency and Ethics (FATE) group at Microsoft Research NYC. She is also the Estella Loomis McCandless Associate Professor of Statistics and Public Policy at Carnegie Mellon University’s Heinz College of Information Systems and Public Policy. Her research investigates questions of algorithmic fairness and accountability in pre-trained models and data-driven decision-making systems, with a domain focus on criminal justice and human services. Her work has been supported through funding from organizations including the Hillman Foundation, the MacArthur Foundation, and the NSF Program on Fairness in Artificial Intelligence in Collaboration with Amazon (opens in new tab). She is a member of the executive committee for the ACM Conference on Fairness, Accountability and Transparency (FAccT (opens in new tab)), and previously served as a Program Committee co-Chair for the conference.
Dr. Chouldechova was a 2020 Research Fellow with the Partnership on AI (opens in new tab), served on the Pittsburgh Task Force on Public Algorithms (opens in new tab) and the Arnold Ventures Pretrial Research Advisory Board, and was an Amazon Scholar with AWS AI.
Dr. Chouldechova received her PhD in Statistics from Stanford University and an H.B.Sc. in Mathematical Statistics from the University of Toronto.