Summary
Rohit Patra is a Staff Applied Researcher at LinkedIn and a seasoned statistician with a decade of experience applying advanced statistical theory to large-scale recommendation systems. Trained at the Indian Statistical Institute and holding a Ph.D. from Columbia, he blends deep expertise in semiparametric and nonparametric methodology with practical ML engineering to build automated, tuning-free procedures that scale. Previously an assistant professor at the University of Florida, his research focused on efficient estimation, shape-constrained nonparametric methods, and bootstrap inference—skills he now uses to improve real-world recommender performance and robustness. He has academic roots in mixture models and likelihood-based theory from Cambridge and Columbia, and early industry experience building image-based damage detection prototypes at AIG. Based in New York, Rohit is notable for bridging rigorous large-sample theory with production ML systems, bringing both theoretical guarantees and pragmatic automation to complex data problems.
10 years of coding experience
Bachelor of Statistics, Statistics, Bachelor of Statistics, Statistics at Indian Statistical Institute
Ph.D, Statistics, Ph.D, Statistics at Columbia University
English, Odia