Generate a tailored SOP for Dr. Jan Gerken. Improve your application with a focused, well-structured draft.
Jan Gerken is an Assistant Professor in the area of Algebra Geometry at the Mathematical Sciences faculty of Chalmers University. He leads a WASP-funded group dedicated to exploring the mathematical foundations of deep learning, with a primary focus on equivariant wide neural networks. His research is deeply influenced by physics, drawing on concepts such as gauge theory, general relativity, and quantum field theory. On the practical side, Gerken investigates applications in condensed matter physics, quantum chemistry, and computer vision, contributing to the cross-disciplinary integration of mathematics and real-world applications. More details about his research and group can be found on the group homepage linked in his profile.
General requirements apply to all departments listed at Chalmers. Specific departments like Architecture require a portfolio. Programs in Management/Economics do not strictly require GMAT/GRE but high academic standing is prioritized.