Yan Cheng

Yan Cheng is a PhD candidate in Applied Mathematics at Columbia University, researching computational inverse problems in wave propagation.

He formulates problems in seismic imaging and optical phase retrieval as PDE-constrained optimization, with work spanning phase retrieval in nonlinear optics, cryptanalysis of optical encryption systems, and multiscale full waveform inversion methods. His computational toolkit includes high-performance computing, CUDA, and fast PDE solvers.