Industrial Engineering and Operations Research
Rachel Cummings’ 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.
- Assistant Professor, School of Industrial and Systems Engineering, Georgia Tech, 2017-2020
- Assistant Professor, School of Industrial and Systems Engineering, Georgia Tech, 2017-2020
- Member, Association of Computing Machinery (ACM)
- Member, Society for Industrial and Applied Mathematics (SIAM)
- Member, Institute for Operations Research and the Management Sciences (INFORMS)
- Advisory Board Member, U.S. Census Atlanta Regional Data Center (ARDC)
- Member, ACM U.S. Public Policy Council
- Member, IEEE Standards Association
- Advisory Board Member, Future of Privacy Forum
- NSF CAREER Award, 2020
- JPMorgan Faculty Award, 2020
- Google Research Fellowship (through Simons Institute for the Theory of Computing), 2019
- Mozilla Research Grant, 2018
- ACM SIGecom Doctoral Dissertation Honorable Mention, 2018
- Amori Doctoral Prize in Computing and Mathematical Sciences, 2017
- Caltech Leadership Award, 2017
- Simons Award for Graduate Students in Theoretical Computer Science, 2015
- DISC Best Paper Award, 2014
- People want data privacy but don’t always know what they’re getting. The Conversation, October 2020
- COVID-19 & Data Privacy, INFORMS, August 2020
- Data Privacy vs. Data Security: Overcoming Our Fear of Sharing DataINFORMS OR/MS Magazine, April 2020
- GT Experts Bring Diverse Perspectives on the Challenges and Importance of Algorithmic Fairness. Center for Machine Learning at Georgia Tech, December 2019
- Are You Afraid of Data? Balancing Privacy and Data Monetization. CPO Magazine, June 2018
- The Next Frontier in Data Privacy. Georgia Tech College of Engineering, April 2018