Biography

“All men by nature desire to know.” — Aristotle

Driven by curiosity about the physical world, I am pursuing a Master’s degree in Computational Mathematics at the University of Washington. Previously, I earned my Bachelor’s degree in Applied Mathematics from the Chinese University of Hong Kong, where I was advised by Dr. Xiaoguang Han and Dr. Shihua Gong.

My research explores the integration of numerical and neural methods for physics-based simulation, bridging visual computing, scientific computing, and artificial intelligence. I am particularly interested in differentiable simulation and neural surrogates for graphics and physical systems.

As Richard Feynman once said, “What I cannot create, I do not understand.” Guided by this idea, my long-term goal is to build the next generation of AI-accelerated physics engines — systems that deepen our understanding of the physical world while bridging it with its digital twin.