Summary
Xin Chen is an Associate Professor at Xi'an Jiaotong University with a decade of experience at the intersection of computational science, AI, and renewable energy. Trained with a PhD in Chemical Physics from Yale and postdoctoral work at MIT, he leads research on battery state prediction, computational materials discovery (including a novel Li–air cathode and high-efficiency ceramic PV materials), smart grids, and quantum dynamics algorithms. His group builds end-to-end AI frameworks—scaling from distributed CPU/GPU supercomputers to Dash/Flask frontends—and has placed students into top tech firms and Carnegie Mellon’s Robotics Institute. Xin combines deep theoretical expertise with practical deployment skills and actively seeks collaborators for an ongoing "Energy Storage Ecosystem" effort that bridges materials discovery and grid-scale applications.
10 years of coding experience
7 years of employment as a software developer
BS, BS at Nanjing University
MSc., MSc. at The University of British Columbia
PhD, Chemical Physics, PhD, Chemical Physics at Yale University