Jie Deng is an Assistant Professor in the Department of Geosciences at Princeton University, where he leads the Computational Mineral Physics Laboratory. He received his Ph.D. in Geophysics from Yale University in 2019. His research focuses on atomistic simulations and machine learning to study the material properties and key processes underlying the formation and evolution of planetary bodies. His recent work combines machine learning with ab initio molecular dynamics to model the melting and crystallization processes of bridgmanite, contributing to our understanding of magma ocean processes during the early evolution of terrestrial planets. Keywords from his research include high pressure, machine learning, and mineral physics.