Siavash Golkar, Ph.D.

Siavash Golkar joined the Flatiron Institute in 2019 in the Center for Computational Neuroscience. Prior to the Flatiron Institute, Siavash held post-doctoral positions at Cambridge University and New York University, working on solutions to fundamental machine learning problems such as transfer learning and forgetting. Siavash has a Ph.D. in theoretical physics from the University of Chicago where his research focused on geometric and topological considerations in effective field theories.