Xiao Chen is a Computational and Data Scientist at the Center for Applied Scientific Computing (CASC), Lawrence Livermore National Laboratory (LLNL). His primary research involves the development and application of advanced computational and statistical methodologies in fusion energy, nuclear physics, and various other laboratory applications. Xiao's expertise spans Artificial Intelligence (AI), Machine Learning (ML), Uncertainty Quantification (UQ), Optimal Control, Data Assimilation, and Reduced Order Modeling. He has successfully led numerous AI, ML, and UQ-related projects as Principal Investigator (PI), Project Leader, or Task Leader.

Xiao joined CASC in May 2011 as a postdoctoral researcher. Prior to LLNL, he earned his Ph.D. in Applied Mathematics from Florida State University in 2011 and his M.S. in Applied Mathematics from Zhejiang University in 2006.