Yupeng He is a Director of Bioinformatics based in San Francisco with 11 years of experience applying machine learning to large-scale genomics and epigenomics datasets. He has advanced through technical and leadership roles at Guardant Health, driving teams that translate complex methylation and chromatin data into clinically relevant insights. His academic work at the Salk Institute includes co-developing a widely used end-to-end DNA methylation pipeline (methylpy) and contributing to high-impact consortium projects such as the Roadmap Epigenome effort. He combines strong computational skills (random forest, CRF, predictive modeling) with practical product-minded execution, moving methods from prototype to pipelines used across many publications. Notably, he has repeatedly improved enhancer and biomarker discovery accuracy and led cross-disciplinary projects that bridge single-cell epigenomics and clinical genomics.
11 years of coding experience
8 years of employment as a software developer
University of California, San Diego
B.S. Biotechnology with Minor in Applied Mathematics, B.S. Biotechnology with Minor in Applied Mathematics at Shanghai Jiao Tong University
WGBS/NOMe-seq Data Processing & Differential Methylation Analysis
Contributions:17 releases, 252 commits, 5 PRs in 5 years 1 month
wgbsnomedata-processingseqdifferential
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