Spencer Frei is a Postdoctoral Researcher at the Simons Institute for the Theory of Computing at UC Berkeley, hosted by Peter Bartlett and Bin Yu as a part of the NSF/Simons Collaboration on the Theoretical Foundations of Deep Learning. Spencer is interested in machine learning, statistics, and optimization, especially in deep learning theory.

Before coming to Berkeley, Spencer completed his PhD in Statistics at UCLA under the supervision of Quanquan Gu and Ying Nian Wu. He received his MSc in Mathematics from the University of British Columbia, Vancouver, and his BSc in Mathematics from McGill University.