Nathan Lawlor is a Principal Scientist in Data Science with a decade of experience blending cellular biology, bioinformatics, and software-driven analytics to tackle diseases such as Type 2 diabetes, aging, and cancer. He has progressed from hands-on lab research to senior data science roles at Regeneron, 2seventy bio, Sema4, and The Jackson Laboratory, applying (epi)genomics and transcriptomics to translational problems. Nathan designs and implements data-mining pipelines and analytic strategies that move discoveries toward improved diagnosis, treatment, and prevention. Known for bridging wet-lab insight with production-ready computational solutions, he brings both experimental intuition and engineering rigor to multidisciplinary teams. He pursued a Professional Science Master's in Microbial Systems Analysis after a BS in Biology, reflecting a career-long focus on actionable biological data.
10 years of coding experience
11 years of employment as a software developer
Bachelor of Science (BS) Biology General, Bachelor of Science (BS) Biology General at Boston College
Professional Science Master's (PSM) Microbial Systems Analysis, Professional Science Master's (PSM) Microbial Systems Analysis at University of Connecticut
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