Weinan E (; 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 is an invited Plenary Speaker of International Congress of Mathematicians 2022 in St. Petersburg. Biography E Weinan was born in Jingjiang, China. He completed his undergraduate studies in the Department of Mathematics at University of Science and Technology of China in 1982, and his master's degree in Academy of Mathematics and Systems Science at Chinese Academy of Sciences in 1985. He obtained his Ph.D. degree under the advice of Björn Engquist in the Department of Mathematics at University of California, Los Angeles in 1989. He then became a visiting member in Courant Institute, New York University from 1989 to 1991, and a member in Institute for Advanced Study from 1991 to 1992. After spending two more years as a long term member in Institute for Advanced Study, he joined Courant Institute, New York University as an associate professor in 1994, and became a full professor in 1997. Since 1999, he has been holding a professorship in the Department of Mathematics and Program in Applied and Computational Mathematics at Princeton University. He currently holds a professorship at the Center for Machine Learning Research and the School of Mathematical Sciences at Peking University. He has 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. In the study of rare events, he and collaborators have developed the string method and transition path theory. In multiscale