Peter Curran is a Senior Scientist with eight years’ experience applying computational chemistry and cheminformatics to drug discovery, currently leading scientific work at PharmEnable. He earned a PhD from the University of Cambridge studying protein small-molecule binding hotspots, combining large-scale PDB analysis with practical library design to inform screening strategies. His background spans hands-on medicinal chemistry, database curation at the CCDC, and method development for hotspot prediction, giving him a rare blend of experimental and computational insight. Based in Kenilworth, he contributes scientific tooling and code on GitHub tied to his research interests, reflecting a pragmatic approach to reproducible computational science. Colleagues would note his ability to translate structural bioinformatics into tangible screening libraries and assay hypotheses that accelerate lead discovery.
8 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy (Ph.D.), Chemistry, Doctor of Philosophy (Ph.D.), Chemistry at University of Cambridge
MChem, Chemistry, 2:1, MChem, Chemistry, 2:1 at University of Bath
Contributions:11 pushes, 1 branch in 1 year 5 months
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