Pearl Philip is a software engineer and cheminformatician with a decade of technical experience and a focused two-year track record in drug discovery research at GSK and the University of Washington. Trained as a chemical engineer (M.S., UW), she combines domain expertise in thermodynamics and enzymology with practical skills in ML, active learning, and HTS fingerprint engineering to accelerate lead identification. At GSK she built pipelines and infrastructure to automate HTS analysis and demonstrated novel chemical descriptors that improved screening efficiency, collaborating closely with chemists and biologists to deploy usable systems. She also developed open-source cheminformatics tools during her graduate work and applied genetic algorithms and deep learning for QSAR and inhibitor design. Based in Lynnwood, WA, Pearl brings a rare blend of laboratory-facing collaboration and production-focused automation that makes experimental workflows more predictive and scalable.
10 years of coding experience
Master's degree, Chemical Engineering, Master's degree, Chemical Engineering at University of Washington
Bachelor of Technology (B.Tech.), Chemical Engineering, Bachelor of Technology (B.Tech.), Chemical Engineering at National Institute of Technology Karnataka
Cheminformatics models for the design of inhibitors of USP1 enzymes as cancer-fighting agents
Contributions:1 release, 323 commits, 1 PR in 1 year 1 month
cheminformaticsfightingagentscancerbioinformatics
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Pearl Philip - Software Engineer at GlaxoSmithKline