Summary
Saptarshi Chakraborty is a third-year Ph.D. student in Statistics at UC Berkeley with eight years of research and teaching experience, currently serving as a Graduate Student Instructor. He holds B.Stat and M.Stat degrees from the Indian Statistical Institute, Kolkata, and has been a visiting researcher at Duke and a summer scholar at the University of Michigan working on ML applications to medical data. His work bridges mathematical statistics, probability, and machine learning, with hands-on experience in image processing and applied healthcare analytics. Based in Berkeley, he combines rigorous theoretical training with practical research collaboration across top US institutions. Colleagues know him for translating complex statistical ideas into teachable material and for pursuing interdisciplinary projects that connect theory to real-world data.
8 years of coding experience
Doctor of Philosophy - PhD, Statistics, Doctor of Philosophy - PhD, Statistics at University of California, Berkeley
Mathematical Statistics and Probability, Machine Learning, Image Processing, 86.66%, Mathematical Statistics and Probability, Machine Learning, Image Processing, 86.66% at Indian Statistical Institute, Kolkata