University of Notre Dame
Areas of Expertise: Scientific Machine Learning, Data Assimilation, Differentiable Programming, Bayesian Inference, Uncertainty Quantification, Computational Mechanics.
Dr. Jian-Xun Wang received his bachelor degree in Naval Architecture and Ocean Engineering from the Harbin Institute of Technology in 2011. He completed his master’s program in Mechanical Engineering in 2013 from the same university. He joined the graduate program in the Department of Aerospace and Ocean Engineering at Virginia Tech in 2013 and received a master degree in Ocean Engineering and a Ph.D. degree in Aerospace Engineering in 2016 and 2017, respectively. Subsequently, he conducted postdoctoral research at the University of California, Berkeley. He joined the College of Engineering as a tenure-track assistant professor at the University of Notre Dame in 2018.
Dr. Wang has a multidisciplinary research background, cutting cross scientific machine learning, data assimilation, Bayesian inference, uncertainty quantification, and computational mechanics. In particular, his research focus is at the interface of physics-informed deep learning, data-driven modeling, scientific computing, and physics-based computational mechanics. He has (co-) led research projects sponsored by multiple agencies, including NSF, ONR, AFSOR, DARPA, CICP, etc. Dr. Wang received the 2021 NSF CAREER Award, 2023 ONR YIP Award, and the 2022 Top 10 Outstanding Chinese American Youth Award. Dr. Wang also serves on the editorial board of Nature Scientific Report, and he is a member-at-large of the US. Association of Computational Mechanics (USACM) Technical Thrust Area on Uncertainty Quantification and Technical Thrust Area on Data-Driven Modeling.