I am an Assistant Professor of Statistics at Harvard. I received my PhD in mathematics from Stanford, where I was fortunate to be advised by Andrea Montanari and Sébastien Bubeck. My research interests are a mix of probability and machine learning.
Selected PapersSee my research page for a full list of papers with some accompanying videos and slides.
B. Huang and M. Sellke. A Constructive Proof of the Spherical Parisi Formula
M. Sellke. Almost Quartic Lower Bound for the Fröhlich Polaron's Effective Mass via Gaussian Domination
Duke Math Journal, accepted (2023)
A. E. Alaoui, A. Montanari and M. Sellke. Sampling from the Sherrington-Kirkpatrick Gibbs measure via Algorithmic Stochastic Localization
B. Huang and M. Sellke. Tight Lipschitz Hardness for Optimizing Mean Field Spin Glasses
S. Bubeck and M. Sellke. A Universal Law of Robustness via Isoperimetry
Journal of the ACM, Vol. 70 (2023) no. 2, Article 10, 1-18
Conference version in NeurIPS 2021. Awarded Outstanding Paper.
M. Sellke. Cutoff for the Asymmetric Riffle Shuffle
Annals of Probability, Vol. 50 (2022) no. 6, 2244-2287
M. Sellke. Chasing Convex Bodies Optimally
GAFA Seminar Notes, 2023
Conference version in SODA 2020. Awarded Best Paper and Best Student Paper.