He holds a bachelor’s degree in Civil Engineering from Zhejiang University, China, a master’s degree in Mathematics from the Royal Institute of Technology (KTH), Sweden, and a Ph.D. degree in Civil Engineering from Princeton University, USA. Before joining Virginia Tech in 2013, he worked as a postdoctoral researcher at the Institute of Fluid Dynamics in ETH Zurich, Switzerland, from 2009 to 2012. His current research interests lie in quantifying and reducing model uncertainty in RANS simulations with data assimilation and machine learning techniques. More information can be found in the manuscripts from the presenters website: https://sites.google.com/a/vt.edu/hengxiao/papers Title: A Physics-Informed Machine Learning Framework for RANS-Based Predictive Turbulence Modeling