Volkan Sevim is a computational biology consultant based in San Francisco with 11 years of experience translating complex genomics problems into reproducible data science and machine learning solutions. With a Ph.D. in physics and a track record across academia and industry—including postdoctoral work at UCSF and Duke, data science at the Joint Genome Institute, and a scientific investigator role at GSK—he combines rigorous statistical modeling, high-performance computing, and hands-on CRISPR/NGS analysis. He publishes in the field and is comfortable taking projects from experimental design through analysis and production-ready pipelines. Known for blending mathematical modeling with practical bioinformatics, he often uncovers actionable biological insights from noisy large-scale screens that others miss.
11 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (PhD), Physics, Doctor of Philosophy (PhD), Physics at Florida State University
BS, Physics, BS, Physics at Istanbul Technical University
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