Dr. Alexander Wein

Biography

Alexander Wein is an Assistant Professor in the Department of Mathematics at the University of California, Davis, where his research intersects theoretical computer science, statistics, probability, and data science. His work particularly focuses on mathematical data science, specifically the development of optimal algorithms that uncover hidden structures amidst random noise. He explores computational complexity related to statistical inference, emphasizing the computation of low-degree polynomial models. Wein's research also addresses computational challenges associated with tensors, Bayesian inference in statistical physics, and group actions' implications, including determining three-dimensional molecular structures through cryo-electron microscopy. He has contributed significantly to the field, with published works discussing phase transitions, low-degree polynomial estimation, and statistical modeling within various frameworks.

Research Interests

Experience