About me

I am a fifth-year PhD candidate at the Department of Statistics at Columbia University, where I am fortunate to be advised by Cynthia Rush and Marco Avella Medina. I received my BS/MA in Statistics and Data Science at Yale University.

My research interests lie at the intersection of statistical theory and machine learning (ML). Specifically, I focus on a few key areas:

• Robust Bayesian methods under model misspecification: asymptotic guarantees for Bayesian methods that are robust to model misspecification. See my recent work here on posterior tempering, one such method.
• Variational Inference: theory of variational approximations of Bayesian posteriors
• Differential Privacy (DP): DP optimization, privacy-preserving analysis of heterogeneous data, design of DP sampling algorithms