Viktor Petukhov is an independent consultant and PhD-trained biostatistician with 11 years of experience applying AI, statistical modeling and algorithm development across biotech, autonomous vehicles and computer vision startups. He has led translational projects from novel interpretable failure-detection algorithms for truck diagnostics to creating a CV department that attracted $300k in funding, and has hands-on experience shipping Bayesian time-series, genome assembly and dose-response analytics. As a former CTO he built a GPT-based analytics startup and routinely bridges deep quantitative research (publications on Google Scholar) with product-focused engineering (see active GitHub). Known for turning complex academic methods into practical, auditable systems, he combines strong applied math skills with a track record of enabling early-stage teams to win funding and operationalize AI.
11 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Biostatistics, Doctor of Philosophy - PhD, Biostatistics at Københavns Universitet - University of Copenhagen
Master's degree, Applied Mathematics, 4.6, Master's degree, Applied Mathematics, 4.6 at Peter the Great St.Petersburg Polytechnic University
Bachelor's degree, Applied Mathematics, 4.26, Bachelor's degree, Applied Mathematics, 4.26 at South Ural State University (SUSU)
Contributions:4 releases, 115 commits, 49 pushes in 2 years 10 months
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