Scott Simpkins
Data Scientist
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolScott Simpkins is a data scientist with a decade of experience translating wet-lab problems into computational solutions, currently applying machine learning and network analysis at Octant in the San Francisco Bay Area. His work spans LC-MS method development, high-throughput chemical-genetic screens in yeast, and predictive modeling of synthetic lethal interactions from genome-wide CRISPR screens to nominate cancer drug combinations. Trained as a PhD in Bioinformatics and Computational Biology, he blends statistics, data mining, and cheminformatics to support collaborators and to build interactive visual tools that make complex experimental data actionable. Scott has led international multi-disciplinary projects and developed pipelines that moved from discovery to experimental validation, reflecting both deep domain knowledge and practical engineering. He is motivated, independent, and a quick learner who prefers solving biological questions by integrating diverse computational approaches rather than one-size-fits-all methods.
11 years of coding experience
University of Minnesota Twin CitiesBachelor of Arts - BA, Biochemistry and Molecular Biology, Bachelor of Arts - BA, Biochemistry and Molecular Biology at Gustavus Adolphus College
Github Skills (21)
google-sheet9
python-lib9
google-sheets-api8
google-sheets8
google-sheets-api-v47
python7
numba7
cuda6
spreadsheet6
parallel6
non-linear-model5
llvm5
r4
conda4
numpy4
Programming languages (4)
Github contributions (5)
csbio/BEAN-counter
Sep 2015 - May 2019
Contributions:2 releases, 499 commits, 2 PRs in 3 years 8 months
RussianImperialScott/CG-TARGET
Jul 2016 - Sep 2017
Contributions:4 PRs, 44 pushes, 3 branches in 1 year 2 months
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