Rachel Cummings
Scholar

Rachel Cummings

Google Scholar ID: 2mYxmokAAAAJ
Columbia University
Data privacyMachine learningAlgorithmic economicsPrivacy Policy
Citations & Impact
All-time
Citations
10,925
 
H-index
25
 
i10-index
38
 
Publications
20
 
Co-authors
46
list available
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • Recipient of NSF CAREER Award, DARPA Young Faculty Award, DARPA Director’s Fellowship, Early Career Impact Award, Provost’s Teaching Award
  • Best Paper Awards at DISC, CCS, and SaTML
  • Co-authored open-source textbook 'Differential Privacy in Artificial Intelligence: From Theory to Practice' (2025), wrote Chapter 17 on the relationship between differential privacy and algorithmic fairness
  • Multiple papers accepted to top venues including ICML, PETs, AISTATS, and FORC
  • Awarded tenure in 2024
Research Experience
  • Former faculty at Georgia Tech in the School of Industrial and Systems Engineering (ISyE), with a courtesy appointment in the School of Computer Science
  • Currently Associate Professor at Columbia University IEOR
  • Managing Editor of the Journal of Privacy and Confidentiality
  • Serves on ACM U.S. Technology Policy Council, IEEE Standards Association, and Future of Privacy Forum’s Advisory Board
  • Member of the Independent Census Scientific Advisory Council; previously served on the Census Scientific Advisory Council
  • Former Fellow at the Center for Democracy & Technology
Background
  • Associate Professor in the Department of Industrial Engineering and Operations Research (IEOR) at Columbia University
  • Courtesy appointment in the Department of Computer Science
  • Co-chair of the Cybersecurity Research Center at the Data Science Institute
  • Research interests broadly in differential privacy, drawing on interdisciplinary tools from machine learning, algorithm design, economics, optimization, statistics, HCI, usable security, and public policy
  • Particularly interested in challenges and solutions in applying theoretical privacy-preserving data analysis tools in practice
Miscellany
  • Hosted NYC Privacy Day at Columbia in Spring 2025
  • PC Co-Chair of DEF CON Crypto and Privacy Village
  • Featured in BEATCS with Sumegha Garg for organizing TCS+
  • Published blog post on explaining privacy guarantees via CDT
  • Co-authored Day One Project memo 'Increasing Responsible Data Sharing throughout Government'