Alexander Bogatskii joined the Flatiron Institute’s Center for Computational Mathematics in September 2021 as a Flatiron Research Fellow. Alexander’s background is in Mathematical Physics and Condensed Matter Theory. Bogatskii investigates designing physics-informed machine learning architectures such as group covariant neural networks, with scientific applications in mind. Alexander’s other interests are education, social and political philosophy, history, architecture, cooking and biking. Bogatskii has a Ph.D. from the University of Chicago in Physics and a M.S. and B.S. in Physics from the Saint-Petersburg State University.