Xujia Zhu is currently an assistant professor at CentraleSupélec, Paris-Saclay University, and is affiliated with the Laboratory of Signals and Systems. His primary research focuses on the confluence of numerical simulations and statistics, encompassing a diverse array of subjects surrounding uncertainty quantification, including surrogate modeling, uncertainty propagation, sensitivity analysis, and reliability analysis.
Prior to joining CentraleSupélec, Dr. Zhu obtained an engineer’s degree in mechanics from the École Polytechnique (France) in 2015. Subsequently, in 2017, he received a master’s degree (with high distinction) in computational mechanics from the Technical University of Munich (Germany). In 2022, Dr. Zhu completed his Ph.D. from the Chair of Risk, Safety, and Uncertainty Quantification at ETH Zurich (Switzerland). Then, he continued his academic journey as a postdoctoral researcher at the same institution until the end of 2023.
