Devon Kohler
Graduate Researcher
Boston, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolDevon Kohler is a computational biologist and PhD researcher at Northeastern University with 8 years of experience applying machine learning, statistics, and causal AI to proteomics and multi-omics problems. He designs novel methods—such as a custom Isolation Forest for DIA proteomics—and builds production-ready tools and packages (MSstats, MSstatsShiny) that make advanced statistical workflows accessible to bench scientists. His work spans end-to-end deployment on AWS and collaborative projects with Genentech, Pfizer, AstraZeneca and Talus Bio, translating methodological advances into practical pipelines. Trained in data science and economics, Devon blends rigorous statistical inference with product-minded software engineering to deliver reproducible, FDR-controlled analyses that directly inform drug safety and discovery.
8 years of coding experience
5 years of employment as a software developer
Bachelor of Arts (B.A.) Economics, Bachelor of Arts (B.A.) Economics at Union CollegeDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Northeastern University
Github Skills (35)
mass10
r-package10
tandem10
shotgun10
mass-spectrometry10
modification10
shiny9
bioinformatics9
proteins9
data-import8
bioconductor8
labeling8
converter8
systems-biology6
computational-biology6
Programming languages (5)
Github contributions (5)
Vitek-Lab/MSstatsLiP
Mar 2021 - Mar 2025
Contributions:59 PRs, 93 pushes, 10 branches in 4 years
Vitek-Lab/MSstatsTMTPTM
Sep 2020 - Oct 2021
R-based package for detecting differencially abundant post translational modifications (PTM) in shotgun mass spectrometry-bsed proteomic experiments with tandem mass tag (TMT) labeling
Contributions:71 commits, 2 PRs, 21 pushes in 1 year 1 month
tandemmodificationspackage-basedmass-spectrometryspectrometry
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