I’m an Associate Professor of Statistics at Rutgers University. Two branches of my research interests are 1) foundations of uncertainty reasoning: Bayesian and generalized Bayesian methodology and computation, random sets, imprecise probability, and Dempster-Shafer theory of belief function; and 2) statistical privacy: privacy-aware statistical inference and computational methodologies, and inference-aware privacy and disclosure mechanism design. I hold a status-only appointment with the Department of Statistical Sciences at the University of Toronto. I am currently an associate editor for the Harvard Data Science Review, for JASA/TAS Reviews, and for Statistics and Public Policy. I write a contributed column, Sound the Gong, for the IMS Bulletin.

Updates

• Package dapper: Data Augmentation for Private Posterior Estimation is now available on R CRAN!
• The Sixth Annual Symposium on Applications of Contextual Integrity will be held at Rutgers University, September 27-28, 2024. Registeration and NSF Student Fellowship application are open!
• NBER Workshop Series: Data Privacy Protection and the Conduct of Applied Research: Methods, Approaches and their Consequences. May 16-17, 2024, Washington, DC. Co-organized with V. Joseph Hotz and Ian Schmutte.
• Foundations of Probability Seminar continues in 2024!
• Our paper, Integer Subspace Differential Privacy, was selected for oral presentation at AAAI-23. Joint work with Prathamesh Dharangutte, Jie Gao, and Fang-Yi Yu.
• Our paper, Data Augmentation MCMC for Bayesian Inference from Privatized Data, has been accepted at NeurIPS 2022. Joint work with Nianqiao Ju, Jordan Awan, and Vinayak Rao. Watch my talk about this work at the Fields Workshop on Differential Privacy and Statistical Data Analysis.
• Harvard Data Science Review Special Issue 2 - Differential Privacy and the 2020 Census: Can We Make Data Both Private and Useful? Listen to the podcast with Co-Editors Erica Groshen, Salil Vadhan and myself (Podbean/Apple/Spotify)
• DIMACS Workshop: Analysis of Census Noisy Measurement Files and Differential Privacy. April 28-29, 2022, New Brunswick, NJ. Co-organized with Cynthia Dwork, Weijie Su, and Linjun Zhang. Videos are now available! (watch on YouTube)
• My SIPTA Seminar: Imprecise Probabilities in Modern Data Science: Challenges and Opportunities (watch on YouTube)