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 am 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

• Forthcoming in November 2026: Data Privacy Protection and the Conduct of Applied Research: Methods, Approaches, and New Findings. The University of Chicago Press.
• I will be teaching an undergraduate topics course, A Data-Scientific Introduction to Justice and Democracy, in Fall 2026. Learn more here.
• Our interview with the Journal of Statistics and Data Science Education on Teaching Veridical Data Science (with Matteo Bonvini, Andrew Bray, Bin Yu, and Joshua Rosenberg).
• Harvard Data Science Review Special Issue 6 - Data Privacy for Social Sciences. Co-edited with Jörg Drechsler, V. Joseph Hotz, and Ian M. Schmutte.
• 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.
• 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)