Yan Wang is a Professor of Mechanical Engineering and leads the Multiscale Systems Engineering Research Group at the Georgia Institute of Technology. His research areas include computer-aided design (CAD), computer-aided manufacturing, multiscale modeling and simulation, materials design, uncertainty quantification, and physics- informed machine learning. He has published over 100 archived journal papers and over 100 peer-reviewed conference papers, including the ones with best conference paper awards at the American Society of Mechanical Engineers (ASME) Computers & Information in Engineering (CIE) Conference, ASME Multibody Systems, Nonlinear Dynamics, and Control Conference, The Minerals, Metals & Materials Society (TMS) World Congress on Integrated Computational Materials Engineering, the Institute of Industrial & Systems Engineers (IISE) Industrial Engineering Research Conference, and the International CAD Conference. He is a recipient of the U.S. National Science Foundation (NSF) CAREER Award, a National Aeronautics and Space Administration (NASA) Faculty Fellow, and an ASME Fellow. He currently serves on the ASME leadership teams of Digitalization and Intelligent Manufacturing Technology Groups, was the Chair of ASME CIE Division and the Chair of ASME Advanced Modeling & Simulation Technical Committee, and is regularly invited to review proposals for NSF, NASA, Natural Sciences and Engineering Research Council of Canada, European Research Council, German Research Foundation, Singapore Agency for Science, Technology and Research (A*STAR) Biomedical Research Council, and Hong Kong Nano and Advanced Materials Institute. He received his B.S. degree from Tsinghua University, M.S. from Chinese Academy of Sciences, and Ph.D. from the University of Pittsburgh.