Yan Wang, Ph.D. is a professor of Mechanical Engineering and leads the Multiscale Systems Engineering Research Group at the Georgia Institute of Technology. His research areas include quantum scientific computing, materials design, uncertainty quantification, and scientific machine learning. His current work focuses on developing new quantum computing methods to perform simulation and optimization as well as address the scalability challenges in quantum engineering.

He has published over 200 peer-reviewed journal and conference papers, including the ones with best conference paper awards at the IEEE Quantum Computing and Engineering Conference, American Society of Mechanical Engineers (ASME) Computers and Information in Engineering 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 and Systems Engineers (IISE) Annual Conference, and the International CAD Conference.

Wang is a recipient of the U.S. National Science Foundation CAREER Award, a National Aeronautics and Space Administration (NASA) Faculty Fellow, and an ASME Fellow. He is the current Editor-in-Chief of the journal Quantum Computing and Engineering Applications. He previously served on the ASME Intelligent Manufacturing Technology Group and as the Chair of ASME Computers and Information in Engineering Division.