Huanyu Chen

Huanyu Chen 陈焕宇

Ph.D. candidate in Computer Science, University of Southern California

I am on the 2026–27 academic and industry job market.

About

I am a final-year Ph.D. candidate in the Department of Computer Science at the University of Southern California, advised by Professor Jernej Barbič. Before USC, I earned my B.Sc. in Mathematics from the School of the Gifted Young at the University of Science and Technology of China, graduating with honors from the Loo-Keung Hua Mathematics Talents Class.

My research is interpretable physical AI: models of the physical world whose parts are written in the language of physics, so we can read, check and improve what they learn. I work on computational mechanics for soft and thin objects (elastic solids, shells and rods, nonlinear materials, frictional contact, differentiable simulation) and on measuring material laws from real specimens. My work has appeared in ACM Transactions on Graphics (SIGGRAPH / SIGGRAPH Asia) and Computer Graphics Forum (SCA).

In industry, I have worked on humanoid-robot simulation at Tesla Optimus, haptics and grasping at Meta Reality Labs, and real-time physics at Tencent.

News

Research at a glance

One isotropic energy in principal-stretch space, measured by poking or CT and used to simulate solids, shells and rods
One material law in principal-stretch space connects measurement (poking, CT) and simulation (solids, shells, rods). More on my research →