Bio

Siyuan (Simon) Xing is a Visiting Associate Professor in the Department of Energy Science & Engineering at Stanford University, hosted by Prof. Daniel Tartakovsky. He is also an Associate Professor of Mechanical Engineering Department at California Polytechnic State University (Cal Poly). His research focuses on nonlinear dynamics and scientific machine learning, with an emphasis on developing computational tools to uncover governing equations, predict complex patterns, and analyze bifurcations in nonlinear systems. His recent work explores interpretable neural networks to accelerate scientific discovery and advance our understanding of complex phenomena.

Contact

  • Academic
    ssxing@stanford.edu
    University - Faculty other teaching Department: Energy Science & Engineering Position: Visiting Associate Professor