Pavel Yakovlev is a computational biologist and VP of Research & Early Development with 12 years of experience building and leading multidisciplinary teams to deliver production-grade bioinformatics and drug-design software. At BIOCAD he scaled a computational biology department to 30+ specialists, shipped GPU-accelerated algorithms for docking and NGS, and led adoption of Haskell for robust, high-performance tooling across antibody, gene therapy and small-molecule programs. He pairs a PhD-level command of bioinformatics and applied mathematics with hands-on engineering in Scala, Python, CUDA and functional programming, favoring type-safe designs and provable approaches. A seasoned mentor with over five years of teaching and student supervision, he has a track record of turning theoretical methods—free energy calculations, PK/PD modeling, retrosynthesis prediction—into production services for drug discovery. Less obvious: he began as the company’s first bioinformatician and retained a unique blend of low-level systems thinking (VMs, GPGPU) and high-level biological insight that accelerates translational research.
12 years of coding experience
7 years of employment as a software developer
school-leaver, Mathematics, school-leaver, Mathematics at St. Petersburg Lyceum 30
Bachelor of Science (BSc), Computer Science, 5.0, Bachelor of Science (BSc), Computer Science, 5.0 at St. Petersburg State Polytechnical University
PhD in Computer Science, Bioinformatics, 5.0, PhD in Computer Science, Bioinformatics, 5.0 at St. Petersburg University of Russian Academy of Sciences
Contributions:3 PRs, 8 pushes, 1 branch in 6 years 1 month
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Pavel Yakovlev - VP Of Research & Early Development at BIOCAD