Robert Prill
Lead Machine Learning Engineer at Exact Sciences
California, United States
Summary
👤
Senior🎓
Top SchoolRobert Prill is a Lead Machine Learning Engineer with 13 years of experience applying AI to life sciences, currently advancing deep learning for cancer detection at Exact Sciences. He has built and led Data Science and AI functions across startups and pharma—driving generative protein design at Encodia, novel target discovery and cell-morphology-driven models at Ferring, and productionized ML predictors for RNA therapeutics at Ionis. A former IBM Research computational biologist and DREAM challenge organizer, he pairs top-tier scientific rigor (including high-impact publications and a TED-style vision) with pragmatic product delivery. He is adept at training domain-specific language models (RNA and protein) and scaling models into production systems that materially increase screening throughput. Based in California, he blends academic pedigree (PhD in Biomedical Engineering) with a track record of mentoring teams and translating complex biology into deployable ML solutions.
13 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Biomedical Engineering, Doctor of Philosophy (Ph.D.) Biomedical Engineering at The Johns Hopkins University School of MedicineBachelor of Science Engineering (B.S.E.) Bioengineering, Bachelor of Science Engineering (B.S.E.) Bioengineering at University of Pennsylvania
Github Skills (2)
computational-biology8
bioinformatics7
Programming languages (1)
Github contributions (1)
ibm-bioinformatics/BlueSNP
Jul 2012 - Apr 2014
BlueSNP
Contributions:22 commits in 1 year 9 months
computational-biologybioinformatics
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