I am an assistant professor (a term appointment) of Statistics at Columbia University. I have received a Ph.D. in Statistics from the Department of Statistics and Data Science at Carnegie Mellon University, where I was advised by Arun Kumar Kuchibhotla.

Broadly speaking, I am interested in non-standard problems in statistics. My research often uses techniques from empirical process theory and nonparametrics to analyze problems related to the following topics:

1. Minimax and efficiency theory for non-smooth/irregular problems
2. Projection onto tangent cones and their behavior on the boundary
3. Model selection under dependent and heavy-tailed data
4. {Non/semi-parametric, shape-restricted, adaptive} inference
5. Analysis of self-normalized and ratio limit processes
6. Geometry of statistical irregularity

I was also one of the inaugural organizers of the Variational Analysis and Statistical Theory Reading Group at CMU.