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.