Souhardya Sengupta

Souhardya Sengupta

Ph.D. student in Statistics at Harvard University

Hi! I am a fourth-year Ph.D. student in the Department of Statistics at Harvard University. I work with Lucas Janson and Kosuke Imai, primarily in the areas of selective inference, high-dimensional inference and causal inference. Prior to joining Harvard, I obtained a B.Stat. and an M.Stat. from Indian Statistical Institute, Kolkata.

Click here for a copy of my CV.

Pre-prints and publications

  1. S.Sengupta, K.Imai and G.Papadogeorgou. (2025) Low-rank Covariate Balancing Estimators under Interference. [Paper]
  2. D.Paulson, S.Sengupta and L.Janson. (2025) The $L$-test: Increasing the Linear Model $F$-test’s Power Under Sparsity Without Sacrificing Validity. [Paper] [Software]
  3. S.Sengupta and L.Janson. (2025) The $\ell$-test: leveraging sparsity in the Gaussian linear model for improved inference. Submitted. [Paper] [Software]
  4. S.Sengupta and S.Das. (2022) Selective nearest neighbors clustering. Pattern Recognition Letters, 155:178-185. [Paper] [Software]