I’m a Principal Researcher in the New York City lab of Microsoft Research, where I’m a member of the Fairness, Accountability, Transparency, and Ethics in AI (FATE) research group, and an Adjunct Associate Professor in the Department of Information Science at Cornell University, where I co-lead the initiative on Artificial Intelligence, Policy, and Practice (AIPP).

I’m also a Faculty Associate at the Berkman Klein Center for Internet & Society at Harvard University and Affiliated Fellow at the Information Society Project at Yale Law School.

My research explores ethical and policy issues in artificial intelligence, particularly fairness in machine learning, methods for bringing accountability to automated decision-making, and the privacy implications of inference.

I’m co-author of the textbook Fairness and Machine Learning: Limitations and Opportunities and co-founder of the ACM conference on Fairness, Accountability, and Transparency (FAccT).