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Jian-Xun Wang is an Associate Professor in the Sibley School of Mechanical and Aerospace Engineering at Cornell University, starting in 2025. He previously held the position of Robert W. Huether Collegiate Associate Professor in the Department of Aerospace and Mechanical Engineering at the University of Notre Dame. Jian-Xun completed his Ph.D. in Aerospace Engineering at Virginia Tech in 2017 and underwent postdoctoral training at UC Berkeley before joining Notre Dame as a tenure-track Assistant Professor in 2018. His multidisciplinary research background spans Scientific Machine Learning, Bayesian Data Assimilation, Differentiable Programming, Uncertainty Quantification, and Computational Fluid Dynamics. He directs the Computational Mechanics & Scientific AI Lab (CoMSAIL), which is funded by multiple agencies including NSF, NIH, ONR, AFOSR, DARPA, and Google. His research focuses on computational science and engineering, leveraging the synergy of advanced AI and ML, heterogeneous data, and numerical techniques, with an emphasis on deep integration of AI and ML techniques with physics-based models and advanced numerical methods. This work aims to revolutionize the era of computational modeling in big data, significantly enhancing predictive simulation capabilities and improving the understanding, prediction, and control of complex physical systems.
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