Minzhe Zhang is a Staff Data Scientist and computational biologist in the San Francisco Bay Area with nine years of experience building ML and Bayesian models for biomedical data and agentic AI systems. He holds a PhD in Biomathematics/Bioinformatics from UT Southwestern and has led work on predicting drug sensitivity, drug synergy, and methylation regulation from high-throughput sequencing. At PromptBio he bridges research and production as a staff scientist, translating deep learning and statistical methods into deployable tools for genomics. Prior industry internships at Uber and Microsoft demonstrate his ability to apply deep learning to business metrics and knowledge graph problems, while earlier wet-lab experience informs a rare blend of computational and experimental insight. He’s comfortable moving models from theory to practice and often combines probabilistic modeling with modern deep learning to tackle noisy biological data.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Biomathematics Bioinformatics and Computational Biology, Doctor of Philosophy (Ph.D.) Biomathematics Bioinformatics and Computational Biology at UT Southwestern Medical Center
Bachelor’s Degree Pharmaceutical Sciences, Bachelor’s Degree Pharmaceutical Sciences at Zhejiang University
Contributions:29 commits, 28 pushes, 1 branch in 1 year 4 months
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