Peter Hoffman

I’m a 2nd-year PhD student at MIT LIDS working on generative artificial intelligence with Pablo Parrilo and Gabriele Farina. I am mainly interested in problems at the intersection of deep learning, probability, and stochastic differential equations, particularly those related to diffusion models and optimization.

Outside of my theoretical work, I’ve built Triple, an analytics platform designed to improve preventive health measures, and am currently building Triple II to use AI to tailor traditional health insurance to the gig economy. Before that, I worked on legal chatbots.

I am also very involved with teaching, both around MIT and otherwise. In the past, I’ve helped design and teach 6.S095, a student-run lecture series at MIT covering advanced problem-solving techniques in probability, random variables, and stochastic processes. I also frequently publish notes on a variety of topics, which you can find here.

Previously, I completed my undergraduate degree in Mathematics, also at MIT, where I worked with Prof. Pablo Parrilo on optimization algorithms. During my undergraduate years, I was a member of the MIT varsity sailing team and spent time as a quantitative researcher at Point72 and Citibank.

If I’m not writing math or code, you can probably find me painting, gardening with my family, or skiing with friends. Feel free to reach out at hoffmanp@mit.edu.