Cheng (Jesse) Jing

荆诚

Machine Learning Researcher · Physics-Informed AI · Scientific Computing

I'm a fourth-year PhD student at Arizona State University working at the intersection of deep learning and computational physics. My research focuses on building neural architectures that respect the structure of physical laws — from Fourier Neural Operators for parameterized PDEs, to structure-preserving meta-learning for Hamiltonian systems. This summer I'm joining Applied Materials as an intern, and this fall I'm joining NVIDIA as an intern.