I am a third-year PhD student in the math department at UC Berkeley, advised by Professor Lin Lin. I enjoy developing fast algorithms for challenging problems in scientific computing. My main focus is on using neural networks to solve quantum many-body problems, but I am also interested in other computational approaches to simulating quantum systems as well as other algorithmic challenges arising from the field of scientific machine learning. On the technical side these interests have led me to develop expertise in machine learning, randomized linear algebra, and stochastic optimization. Outside of work I enjoy cooking, tossing frisbees, and music; learning how to sing has been my latest hobby and I can tell you it is harder than it looks, but very fun. I am very grateful to be a recipient of a 2025 H2H8 research grant and look forward to engaging with the H2H8 community over the coming years.
Gil Goldshlager
