I am a Ph.D. student in the Department of Statistics and Data Science at Carnegie Mellon University, where I am fortunate to be advised by Arun Kumar Kuchibhotla.

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 estimators on tangent cones and their behavior on the boundary
3. Model selection under dependent and heavy-tailed data
4. {Non/semi-parametric, shape-restricted, dimension-agnostic} inference
5. Geometry of statistical irregularity