Google Research

Jaehoon Lee


Jaehoon Lee is a Research Scientist at Google Brain team. His main research interests is fundamental understanding of deep neural networks; actively working on the infinite-width limit of neural networks and their correspondence to the kernel methods. In 2017, he joined Google and started a research career in machine learning as part of the Google Brain Residency program. Before that he was a postdoctoral fellow at University of British Columbia from 2015-2017 working on theoretical high energy physics. Jaehoon obtained his PhD in physics at the Center for Theoretical Physics, Massachusetts Institute of Technology (MIT) in 2015. He served as co-organizer of ICML 2019 workshop on Theoretical Physics for Deep Learning and Aspen Center for Physics 2019 winter conference on Theoretical Physics for Machine Learning.

Learn more about how we do research

We maintain a portfolio of research projects, providing individuals and teams the freedom to emphasize specific types of work