Tim Pyrkov is a Data Scientist based in Barcelona with a decade of experience translating physics and biophysics expertise into practical ML and biomarker solutions. He holds a PhD in Physics and Mathematics and has driven applied research from academic molecular modeling to industry-scale health AI, including a deep-learning biological age model used commercially via B2B APIs for clients like PepsiCo. At Gero he combined questionnaires, blood biomarkers and wearable data to predict morbidity and mortality and co-authored a patent on activity-based wellness; earlier work includes drug-target projects and a patent on glycolysis inhibitors. Now at Actogram.AI he applies that cross-disciplinary background to product-facing data science, bridging rigorous modeling with deployable services. Colleagues describe him as someone who reliably turns complex biophysical problems into production-ready analytics—a skill honed by years of running collaborative projects with pharma and academic partners.
10 years of coding experience
19 years of employment as a software developer
Doctor of Philosophy - PhD, Physics and Mathematics, Doctor of Philosophy - PhD, Physics and Mathematics at Moscow State University
Master's degree, Applied Mathematics and Physics, Master's degree, Applied Mathematics and Physics at Moscow Institute of Physics and Technology (State University) (MIPT)
Contributions:31 commits, 34 pushes, 2 branches in 1 year
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