Yu Wang is a Bioinformatics Scientist III with a decade of experience applying sequencing technologies to cancer genomics and cardiovascular genetics. Currently at Thermo Fisher Scientific after a research-intensive tenure at the University of Michigan, he has led genetic analyses of ~2,000 samples, authored first-author papers in JAMA Cardiology and ATVB, and earned a Kirschstein T32 award. He combines deep computational training (M.S. in Computer Science from Georgia Tech) with a Ph.D. in Cancer Genomics, plus hands-on leadership from his CTO role at a genomics startup that helped secure Series A funding. Yu’s work spans SNV-calling methods, intra-tumor heterogeneity, and genetic algorithm applications—bringing both algorithmic rigor and translational focus to precision medicine. Based in Ann Arbor, he’s equally comfortable building analysis pipelines as he is partnering with clinical teams to turn genomic data into actionable insights.
10 years of coding experience
Bachlor, Biology, General, Bachlor, Biology, General at Wuhan University
Doctor of Philosophy (Ph.D.), Cancer Genomics, Doctor of Philosophy (Ph.D.), Cancer Genomics at University of Chinese Academy of Sciences
Master, Computer Science, Master, Computer Science at Georgia Institute of Technology
Contributions:35 commits, 3 PRs, 65 pushes in 2 years 2 months
bioinformaticspipelinegenomics
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.