Jian-Xun Wang

Dr. Jian-Xun Wang is an Associate Professor at the Sibley School of Mechanical and Aerospace Engineering at Cornell University (starting 2025). Previously, he held positions at the University of Notre Dame as Robert W. Huether Collegiate Associate Professor. He earned his Ph.D. in Aerospace Engineering from Virginia Tech in 2017, followed by postdoctoral training at UC Berkeley.

His research focuses on computational mechanics and scientific AI, integrating advanced machine learning with physics-based models. Key areas include Scientific Machine Learning, Bayesian Data Assimilation, and Uncertainty Quantification, with applications in aerodynamics, biomedical engineering, and advanced manufacturing. He directs the Computational Mechanics & Scientific AI Lab (CoMSAIL), funded by NSF, NIH, and others.

• Education: M.S. (Ocean Engineering, Virginia Tech, 2016), Ph.D. (Aerospace Engineering, Virginia Tech, 2017), Postdoc (Bioengineering, UC Berkeley, 2018)
• Research Lab: CoMSAIL (Cornell)
• Key Awards: ONR YIP (2023), NSF CAREER (2021)

Teaching interests span Computational Fluid Dynamics, Numerical Methods, and Bayesian Learning. His work bridges AI and computational physics to address complex multiscale problems in fluid dynamics, solid mechanics, and biomedical systems.