Dr. Alexandra Chouldechova is the Estella Loomis McCandless Assistant Professor of Statistics and Public Policy at Carnegie Mellon University’s Heinz College of Information Systems and Public Policy, and a Principal Researcher at Microsoft Research NYC working in the Fairness, Accountability, Transparency and Ethics (FATE) group. Her research investigates questions of algorithmic fairness and accountability in data-driven decision-making systems, with a domain focus on criminal justice, human services, and AI 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. She is a member of the executive committee for the ACM Conference on Fairness, Accountability and Transparency (FAccT), and previously served as a Program Committee co-Chair for the conference.
Dr. Chouldechova was a 2020 Research Fellow with the Partnership on AI, where she worked on understanding factors that drive racial bias in algorithmic risk assessment tools being developed for use in pre-trial, parole and sentencing contexts. She has served as a member of the Arnold Ventures Pretrial Research Advisory Board, and the Pittsburgh Task Force on Public Algorithms. In 2020 and 2021 she was an Amazon Scholar working on algorithmic fairness challenges at Amazon 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.