Bio: Siavash is a research scientist at NYU and Polymathic AI. He is primarily interested in the use of large models to facilitate analysis and discovery in basic sciences. Prior to joining NYU as a research scientist, Siavash was an Associate Research Scientist at the Flatiron Institute working on developing new machine learning algorithms inspired by neuro- and cognitive science theory and experiments.

Research Areas: Machine Learning, Foundation Models for Science