Summary
Chaohui Li is a Ph.D. student and Graduate Student Researcher in Computer Science at UC San Diego with about a decade of research experience applying optimization, integer linear programming, and graph-theoretic methods to cancer genomics and complex structural variants. Advised by Prof. Vineet Bafna, he develops mathematical models and machine learning–guided algorithms that bridge computational efficiency with biological insight, including work on 3D genome modeling. Previously a research assistant at City University of Hong Kong, he has a strong track record in designing exact and approximate optimization techniques for challenging genomics problems. Based in San Diego, he combines theoretical rigor with practical experimentation, aiming to translate algorithmic advances into tools that illuminate tumor evolution and structural variation.
9 years of coding experience
2 years of employment as a software developer
University of California, San Diego
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at City University of Hong Kong