My research program lies at the intersection of optimization and statistics. I am interested in leveraging algorithms and techniques from the optimization literature to find novel solutions for statistical problems like maximum a-posteriori (MAP) inference, sequential multiple hypothesis testing and testing by betting in the game theoretic statistics framework. Currently, I am a Ph.D. candidate in the Department of Mathematics and Statistics at University of Massachusetts Amherst. Prior to joining UMass, I was a consultant with two leading management consulting firms back in India from 2015 to 2018.

Curriculum Vitae

Ph.D. Advisor: Dr Patrick Flaherty 

Publications

1. Thomas Cook, Harsh Vardhan Dubey, Ji Ah Lee, Guangyu Zhu, Tingting Zhao, and Patrick Flaherty. "Cost-Aware Generalized α-Investing for Multiple Hypothesis Testing." The New England Journal of Statistics in Data Science 2, no. 2 (2024): 155-174.
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2. Tingting Zhao, Guangyu Zhu, Harsh Vardhan Dubey, and Patrick Flaherty. "Identification of significant gene expression changes in multiple perturbation experiments using knockoffs." Briefings in Bioinformatics 24, no. 2 (2023): bbad084.
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3. Collin Giguere, Harsh Vardhan Dubey, Vishal Kumar Sarsani, Hachem Saddiki, Shai He, and Patrick Flaherty. "SCSIM: Jointly simulating correlated single-cell and bulk next-generation DNA sequencing data." BMC bioinformatics 21 (2020): 1-10.
   DOI

Under Review

1. Maximum a Posteriori Inference for Factor Graphs via Benders' Decomposition, with Ji Ah Lee, Patrick Flaherty. arXiv

In Preparation

1. The Principal-Agent Problem in Testing-by-Betting Games, with Patrick Flaherty.