Dr. Chakrabortty works in the following areas:

- Methodology: Semi-supervised inference; Semi-parametric inference with high dimensional data; Missing data and causal inference; High dimensional inference; Regularized estimation.

- Applications: Discovery research using electronic medical records data; Automated phenotyping; Personalized medicine (treatment selection, treatment effects estimation, risk prediction etc.)

- Other interests: Concentration inequalities and tail bounds; Empirical processes; Debiasing and sample-splitting; Model misspecification; Non-parametric regression; Sufficient dimension reduction.