Andrei Salomatov is an Associate Director specializing in scientific data solutions who combines 11 years of experience in genomics, proteomics, quantitative finance, and large-scale cloud computing to turn complex biological datasets into actionable insights. He has led bioinformatics and systems development teams at Regeneron and Black Diamond Therapeutics, building ML-driven variant prioritization, protein sequence representations, and AI-ready life sciences data platforms on AWS with Neo4j-backed integrations. His background in quantitative trading and a PhD in Mathematics underpin a rigorous, probabilistic approach to modeling and biomarker discovery, enabling scalable GPU workflows for molecular simulation and deep learning. Based in New York, he excels at bridging research and product delivery, translating cross-functional scientific data into BI-accessible insights that inform therapeutic target identification.
11 years of coding experience
15 years of employment as a software developer
Doctor of Philosophy (PhD) Mathematics, Doctor of Philosophy (PhD) Mathematics at Novosibirsk State University (NSU)
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Andrei Salomatov - Associate Director, Scientific Data Solutions