E, Weinan

Weinan E (Chinese: 鄂维南; pinyin: È Wéinán; born September 1963) is a Chinese mathematician. He is known for his pathbreaking work in applied mathematics and machine learning. His academic contributions include novel mathematical and computational results in stochastic differential equations; design of efficient algorithms to compute multiscale and multiphysics problems, particularly those arising in fluid dynamics and chemistry; and pioneering work on the application of deep learning techniques to scientific computing. In addition, he has worked on multiscale modeling and the study of rare events. He has also made contributions to homogenization theory, theoretical models of turbulence, stochastic partial differential equations, electronic structure analysis, multiscale methods, computational fluid dynamics, and weak KAM theory. He is currently a professor in the Department of Mathematics and Program in Applied and Computational Mathematics at Princeton University, and the Center for Machine Learning Research and the School of Mathematical Sciences at Peking University. Since 2015, he has been the inaugural director of the Beijing Institute of Big Data Research. He was an invited Plenary Speaker of the International Congress of Mathematicians 2022.