Yan Wang is a Professor of Mechanical Engineering and leads the Multiscale Systems Engineering Research Group at the Georgia Institute of Technology. The research of the group is at the intersection of design, manufacturing, and materials. His research areas include modeling & simulation, design optimization, uncertainty quantification, physics-informed machine learning, and quantum scientific computing. He has published over 240 archived journal articles and peer-reviewed conference papers, including the ones with best paper awards at the American Society of Mechanical Engineers (ASME) Computers & Information in Engineering (CIE) Conference, ASME Multibody Systems, Nonlinear Dynamics & Control Conference, IEEE Quantum Computing & Engineering 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 team of Intelligent Manufacturing Technology Group, 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, Agence Nationale de la Recherche of France, German Research Foundation, and Singapore Agency for Science, Technology and Research (A*STAR). He received his B.S. degree from Tsinghua University, M.S. from Chinese Academy of Sciences, and Ph.D. from the University of Pittsburgh.