Dr. Cummings received her Ph.D. in Computing and Mathematical Sciences from the California Institute of Technology, her M.S. in Computer Science from Northwestern University, and her B.A. in Mathematics and Economics from the University of Southern California. She is the recipient of an NSF CAREER award, a DARPA Young Faculty Award, an Apple Privacy-Preserving Machine Learning Award, a JP Morgan Chase Faculty Award, a Google Research Fellowship, a Mozilla Research Grant, the ACM SIGecom Doctoral Dissertation Honorable Mention, the Amori Doctoral Prize in Computing and Mathematical Sciences, a Simons Award for Graduate Students in Theoretical Computer Science, and Best Paper Awards at CCS (2021) and DISC (2014). Dr. Cummings also serves on the ACM U.S. Public Policy Council’s Privacy Committee and the Future of Privacy Forum’s Advisory Board.
Interesting working with me? Read this first.
I’m looking to hire a postdoc in differential privacy.
- Feb 8 – Our paper Optimal Data Acquisition with Privacy-Aware Agents won the Best Paper Award at SaTML
- Jan 27 – I was selected as a Center for Democracy & Technology Fellow for 2023-2025
- Jan 20 – Our paper Differentially Private Synthetic Control was accepted to AISTATS
- Jan 1 – I’ve been promoted to Associate Professor