Raef Bassily
Scholar

Raef Bassily

Google Scholar ID: C8qMVQUAAAAJ
Associate Professor, Computer Science & Engineering, The Ohio State University
Machine learningPrivacy-Preserving Data AnalysisInformation and Coding TheorySecurity
Citations & Impact
All-time
Citations
3,996
 
H-index
23
 
i10-index
33
 
Publications
20
 
Co-authors
30
list available
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • Recipient of NSF CAREER Award
  • Recipient of Google Faculty Research Award
  • Recipient of OSU's 2022 Lumely Faculty Research Award
  • Multiple papers accepted at top-tier conferences: NeurIPS 2024 (2), ICML 2024 (2), ICML 2023 (2), ALT 2024 (1)
  • Supervised several Ph.D. students; graduates now hold postdoctoral positions at institutions including Vector Institute (U. Toronto), Broad Institute (MIT & Harvard), and Yale University
Background
  • Associate Professor in the Department of Computer Science and Engineering and core faculty at TDAI, The Ohio State University
  • Part-time visiting scientist at Google
  • Research interests include privacy-preserving data analysis, machine learning, optimization, and information theory
  • Focuses on the interplay between data analysis/machine learning and societal values such as privacy and security
  • Develops practical algorithms with rigorous privacy guarantees to enable learning from private data without revealing private information