Rachel Cummings

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Dr. Rachel Cummings is an Assistant Professor in the H. Milton Stewart School of Industrial & Systems Engineering at Georgia Tech. Her research interests lie primarily in data privacy, with connections to machine learning, algorithmic economics, optimization, statistics, and information theory. Her work has focused on problems such as strategic aspects of data generation, incentivizing truthful reporting of data, privacy-preserving algorithm design, impacts of privacy policy, and human decision-making.

She received her B.A. in Mathematics and Economics from the University of Southern California, her M.S. in Computer Science from Northwestern University, and her Ph.D. in Computing and Mathematical Sciences from the California Institute of Technology.

She won the Best Paper Award at the 2014 International Symposium on Distributed Computing, she serves on the ACM U.S. Public Policy Council's Privacy Committee, and she was the recipient of a Simons Award for Graduate Students in Theoretical Computer Science.

Expertise:
  • Data privacy
  • Algorithmic economics
Caltech Leadership Award 2017
Simons Award for Graduate Students in Theoretical Computer Science 2015-2017
Best Paper Award, International Symposium on Distributed Computing (DISC) 2014