A brief bio
- 2018-current: PhD student, EECS, MIT, advised by Prof. Devavrat Shah, Prof. Gregory Wornell, and Prof. Alberto Abadie
- Summer 2021: Research internship, Google Research, hosted by Johannes Ballé, Lucas Theis, and Peter Kairouz
- Summer 2020: Research internship, IBM Research, hosted by Kush Varshney
- 2014-2018: B.Tech, EE, IIT Bombay, advised by Prof. Nikhil Karamchandani
- Summer 2017: Research internship, EPFL, hosted by Prof. Michael Gastpar
- Research Interests: Causal Inference, Statistical Inference, Algorithmic Fairness
For a detailed bio, please see the Bio tab.
News
- August 2024: Paper on computationally efficient learning of exponential family distributions accepted at IEEE Transactions on Information Theory
- April 2024: Paper on group fairness with uncertain sensitive attributes accepted at ISIT
- February 2024: Paper on doubly robust inference in causal latent factor models available on arXiv
- January 2024: Received the best presentation award, Laboratory of Information & Decision Systems (LIDS) student conference, MIT
- September 2023: Paper on front-door adjustment beyond Markov equivalence with limited graph knowledge accepted at NeurIPS
- June 2023: Papers on front-door adjustment beyond Markov equivalence with limited graph knowledge and group fairness with uncertainty in sensitive attributes accepted at ICML Workshop on Spurious Correlations, Invariance, and Stability
- October 2022: Paper on counterfactual inference with unobserved confounding accepted at NeurIPS Workshop on Causality for Real-world Impact
- July 2022: Research on fair selective regression covered by MIT News
- July 2022: Selected as an outstanding reviewer (top 10%) at ICML (list)
- May 2022: Paper on fair selective regression accepeted at ICML
- February 2022: Selected as a top reviewer (top 10%) at AISTATS (list)
- January 2022: Papers on finding back-door sets under unobserved confounding with minimal DAG knowledge and compressing differentially private algorithms accepted at AISTATS
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