Gabriel Rosser is a Senior Director of Data Science with 11 years of experience applying computational biology, bioinformatics and rigorous statistical methods to drug discovery in the techbio sector. Trained as a D.Phil. in Mathematical Biology at Oxford, he combines deep quantitative modelling with practical software engineering—preferring Python with unit tests—to turn complex omics datasets into actionable target hypotheses. He has progressed from academic research and machine‑learning applications in policing and fintech to leadership roles at BenevolentAI and Relation, guiding cross‑functional teams and data infrastructure for target identification. Gabriel is motivated by work that can make a positive impact and brings a rare blend of hands‑on coding, statistical nuance, and strategic scientific leadership to translational drug discovery.
11 years of coding experience
8 years of employment as a software developer
D.Phil. Mathematical Biology, D.Phil. Mathematical Biology at University of Oxford
Contributions:71 pushes, 5 branches in 3 years 11 months
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