Welcome, I am a research scientist at LinkedIn's Foundational AI Technology (FAIT) team in New York. Until 2021, I was an assistant professor in the Department of Statistics at University of Florida. Before Florida, I was a Ph.D. student at Columbia University, New York. My Ph.D thesis advisor was Bodhisattva Sen.
My research centers around semiparametric/nonparametric methodology and large sample theory - efficient estimation in semiparametric models, nonparametric function estimation (with special emphasis on shape constrained estimation), likelihood and bootstrap based inference in (non-standard) parametric and nonparametric models. The main motivation of the research is in developing nonparametric procedures that are automated (free from tuning parameters) but still flexible enough to incorporate data-driven features.
My research has applications in broad areas such as genetics (multiple testing problems), economics (utility and production function estimation and binary response models), causal inference (conditional independence) and astronomy (analysis of accretion of galaxies), among other fields.
Outside of statistics, I enjoy hiking and playing tennis. I am originally from the city of Bhubaneswar in the state of Odisha, India.