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