Peter Hoffman
MIT LIDS, Building 45
Cambridge, MA 02139, US
I’m a 2nd-year PhD student at MIT LIDS working on generative artificial intelligence with Professor Pablo Parrilo and Professor Gabriele Farina. I am mainly interested in problems at the intersection of deep learning, probability, and optimization, particularly those related to diffusion and flow models.
I am also involved with teaching 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 post 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 Professor Pablo Parrilo on optimization algorithms with applications in game theory. During my undergraduate years, I spent time as a quantitative researcher at Point72 and Citibank.
If I’m not writing math or code, you can probably find me painting. Feel free to reach out at hoffmanp@mit.edu.
Selected publications and projects
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Consistent Diffusion for Gaussian Blur and General Linear Processes with Additive Gaussian NoiseProject, 2025 -
An Integer Program Approach to Generating Proper Colorings of Non-Planar GraphsMIT Math Project, 2023 -
Algorithmic Foundations of the Nested Sampling AlgorithmSupervised by Prof. Peter Kempthorne, MIT Mathematics, 2023 -
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