Lechao is an AI resident on the Brain team at Google, where he is working on machine learning and deep learning. Prior to Google Brain, he was a Hans Rademacher Instructor of Mathematics at the University of Pennsylvania, where he was working on harmonic analysis. He earned his PhD in mathematics from the University of Illinois at Urbana-Champaign and his BA in pure and applied math from Zhejiang University, Hangzhou, China. Lechao research interests include theory of machine learning and deep learning, optimization, Gaussian process, generalization, etc. He is particularly interested in research problems that has a good combination of theory and practice. He developed (with his coauthor) a mean field theory for convolutional neural networks. He developed several novel initialization methods (orthogonal convolutional kernel and delta orthogonal kernel) which allow practitioners to train neural networks with more than 10,000 layers without the use of any common techniques.