Summary
Mingyang Cai is a Principal Bioinformatics Scientist II based in the San Francisco Bay Area with a Ph.D. in Biostatistics and a decade of experience applying statistical modeling and algorithm development to NGS-driven oncology diagnostics. At Roche he has led algorithm design, pipeline automation, and comprehensive genomic profiling for both tissue and liquid biopsies, translating research methods into production-ready tools. His background in high-performance computing and full-stack pipeline development (Python, R, Perl, Bash, HPC) is complemented by research that uncovered long-range chromosomal interactions linked to cancer risk, demonstrating a knack for turning complex genomic signals into actionable insights. A fast learner and independent problem-solver, he combines rigorous statistical thinking with practical software engineering to ship robust bioinformatics products. Notably, he built w4CSeq—a command-line and web tool for chromosome landscape analysis—highlighting his ability to deliver user-friendly research software that bridges bench and computation.
10 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Biostatistics, Doctor of Philosophy (Ph.D.), Biostatistics at University of Southern California
Bachelor of Science (B.S.), Biology/Biological Sciences, General, Bachelor of Science (B.S.), Biology/Biological Sciences, General at Nanjing University
English, Chinese