John Bradshaw is a machine learning scientist with a decade of experience applying computational methods to chemistry and biology for drug discovery, currently on the Prescient Design team at Genentech. He combines deep academic training—a PhD from the University of Cambridge, a postdoc at MIT, and a research placement at the Max Planck Institute—with practical ML model development aimed at accelerating therapeutic design. Comfortable bridging theory and practice, he develops tailored algorithms that address domain-specific challenges in molecular data and biochemical prediction. Based in California, he brings both rigorous research instincts and industry-oriented delivery to high-impact projects in biotech.
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