Summary
Connor French is a data scientist and engineer in biotech with eight years of experience building end-to-end data workflows that connect 'omics and NGS outputs to cloud storage and analytics, and he now applies that expertise at Sarepta Therapeutics. He combines strong computational biology roots (PhD in Ecology & Evolutionary Biology) with hands-on engineering—authoring open-source Python and R tools, developing Nextflow/Targets pipelines, and shipping Shiny/Quarto dashboards that replace costly proprietary software. His work spans preclinical and rare-disease drug development, from revamping peak-detection algorithms to accelerate discovery to modeling genomic and immunological data with ML and statistics. A seasoned scientific consultant and workshop instructor, he has a track record of translating complex biology for non-experts and securing grant funding to drive collaborative, interdisciplinary projects.
8 years of coding experience
8 years of employment as a software developer
Bachelor of Science - BS, Ecology and Evolutionary Biology, Bachelor of Science - BS, Ecology and Evolutionary Biology at The University of Texas at Austin
Doctor of Philosophy - PhD, Ecology and Evolutionary Biology, Doctor of Philosophy - PhD, Ecology and Evolutionary Biology at The Graduate Center, City University of New York
Master of Science - MS, Zoology/Animal Biology, Master of Science - MS, Zoology/Animal Biology at Southern Illinois University, Carbondale