About

Bio:

Figuring out how things work, mathematical elegance, and clear thinking are some of the things that interest me.

I received my B.S. and Ph.D in mathematics from Caltech and MIT. I was subsequently a Research Assistant Professor at the Simons Center for Geometry and Physics (2011-2014) and then a Visiting Assistant Professor at Michigan State University (2014-2017). During these years, my research interests expanded into high-energy physics, where I investigated mathematical problems underlying quantum field theory that have been extensively misformulated or overlooked. Most notably, my work provides a formulation of perturbative path integrals that simplifies and corrects prevailing conventional treatments.

Since mid-2017, I’ve been working on machine learning in industry. Presently, I am at DeepMind where I work on both fundamental research and solving real-world problems using deep learning.

I grew up in the San Francisco bay area and currently live in London.

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