Yiming Yang is a Bioinformatics Software Engineer with 13 years of experience combining graduate-level training in computer science and statistics to build data-driven genomics and machine learning solutions. Currently at Genentech, he has previously developed cloud-based single-cell genomics pipelines at Massachusetts General Hospital and optimized GPU shader performance at AMD, demonstrating fluency across software, ML toolchains, and hardware. His academic work produced novel symbolic algorithms and static numeric analyses, and he has published research from data-driven projects such as cryptocurrency market analysis. Known for a strong academic record (MS in CS with 4.0 and MS in Statistics with 4.22 GPAs), he bridges theory and practice to deliver reproducible, production-ready analytics. Based in South San Francisco, he is seeking full-time roles in data science, machine learning, or software engineering where his cross-domain expertise can accelerate translational bioinformatics.
13 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Computer Science and Technology, Bachelor's degree, Computer Science and Technology at Beijing Normal University
Master’s Degree, Statistics, GPA 4.22/4.0, Master’s Degree, Statistics, GPA 4.22/4.0 at The University of New Mexico
A tool for analyzing trascriptomes of millions of single cells.
Contributions:33 reviews, 455 commits, 220 PRs in 3 years 4 months
analyzingbioinformaticspythoncells
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