Tselil Schramm

Tselil Schramm is an assistant professor of Statistics at Stanford University. She is broadly interested in the theory of algorithms, optimization, and computational complexity, especially for problems arising in statistics. Her work aims to develop algorithmic tools for high-dimensional estimation problems and to characterize and explain information-computation tradeoffs. Before joining Stanford she received her PhD from UC Berkeley, and later spent time as a postdoc at Harvard and MIT. She is currently supported by an NSF CAREER award and a Stanford Gabilan Fellowship.