Alexander Zimin

I am a fourth-year PhD student in Mathematics at MIT, supervised by Philippe Rigollet.

My research area is optimal transportation theory, where I work on both theoretical and computational aspects. Together with Alexander Kolesnikov and Nikita Gladkov, we study generalizations of the Monge-Kantorovich problem, focusing on multistochastic and multimarginal optimal transport. Additionally, I work with Aleh Tsyvinski (Yale) and Job Boerma (UW-Madison) on auction design and taxation problems in Economics using transportation theory.

I am also passionate about Computer Science and its applications in mathematics and economics. I completed a two-year course at Yandex School of Data Analysis, where I gained experience in various areas of machine learning, such as deep learning, reinforcement learning, natural language processing, and computer vision. My background enables me to write high-quality code and conduct sophisticated numerical experiments, such as those involved in disproving the Bunkbed conjecture, developing ML algorithms, and building simulations for economic models.