Michael Doboli
Research
Markov Chain mixing, statistical learning theory
Bio
Michael Doboli is a first-year MIT math PhD student, with interests in probability, statistics, and theoretical computer science. Michael graduated from Stanford University in Spring 2025 with a double degree in math and computer science. While there, he worked with Persi Diaconis on nonreversible Markov chain mixing and Noah Rosenberg on analyzing the Colijn-Plazzotta rank of binary rooted trees. Some of his main accomplishments as an undergraduate were presenting at the 2024 Analysis of Algorithms conference in Bath and winning an undergraduate senior thesis award in the math department.