Rachel Cummings is an Assistant Professor of Industrial Engineering and Operations Research at Columbia University. Before joining Columbia, she was an Assistant Professor of Industrial and Systems Engineering and (by courtesy) Computer Science at the Georgia Institute of Technology. Her research interests lie primarily in data privacy, with connections to machine learning, algorithmic economics, optimization, statistics, and public policy. She is the recipient of an NSF CAREER award, a DARPA Young Faculty Award, an Apple Privacy-Preserving Machine Learning Award, JP Morgan Chase Faculty Award, a Simons-Google Research Fellowship, a Mozilla Research Grant, the ACM SIGecom Doctoral Dissertation Honorable Mention, the Amori Doctoral Prize in Computing and Mathematical Sciences, and the Best Paper Awards at CCS and DISC. Dr. Cummings also serves on the ACM U.S. Public Policy Council's Privacy Committee and the Future of Privacy Forum's Advisory Board.