Summary
Diptanil Roy is a Senior Research Scientist with nine years of experience applying statistical modeling and machine learning to underwriting, credit risk, and fraud detection, currently based in the New York City area. He transitioned from a PhD in nuclear physics at Rutgers, where he performed experimental and computational research, to production ML roles at Upstart, bringing rigorous experimental design and Monte Carlo-style thinking to financial risk problems. At Upstart he has iterated from research scientist to senior research scientist, contributing to fraud detection and verification models that drive lending decisions. Comfortable at the intersection of research and production, he pairs deep quantitative skills from high-energy physics with practical experience deploying models in a regulated, high-stakes environment. An educator as well as a practitioner, he has taught data science bootcamp participants and held research roles at national labs, highlighting an ability to explain complex methods to diverse audiences.
9 years of coding experience
6 years of employment as a software developer
National Institute of Science Education and Research
Doctor of Philosophy - PhD Nuclear Physics, Doctor of Philosophy - PhD Nuclear Physics at Rutgers University
Bengali, Hindi, Sanskrit, English