Evan Edelstein
Software Engineer - Genomic Informatics
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolEvan Edelstein is a software engineer specializing in genomic informatics with a decade of experience building scalable, high-throughput solutions for large-scale sequencing at Regeneron. He combines a strong computational biology foundation—BA in Biochemistry and research in molecular dynamics and protein interaction energetics—with practical software skills in C++ and machine learning. Previously he developed a protein interface predictor that improved MCC by 25% and AUROC by 20%, and has taught programming and computational tools to graduate students. Evan’s work bridges research and production: he moves algorithms from simulation and statistical validation into deployed pipelines that run at-scale. Based in New York, he brings hands-on domain expertise in genomics, an aptitude for rigorous model evaluation, and a track record of translating complex biological problems into reliable software systems.
10 years of coding experience
2 years of employment as a software developer
Bachelor of Arts - BA, Biochemistry, Bachelor of Arts - BA, Biochemistry at Yeshiva University
Github Skills (17)
typescript8
vscode8
vscode-extension8
microsoft7
electron7
spotify-cli7
editor7
spotify6
jupyter-extension6
visual-studio6
visual-studio-code6
controlling5
spotify-api5
machine-learning5
jupyter5
Programming languages (3)
Github contributions (5)
eved1018/ISPIP
Oct 2021 - Feb 2025
Contributions:4 releases, 164 pushes, 6 branches in 3 years 4 months
eved1018/ProteinInterfaceResearch_Summer2019
Jun 2019 - Jun 2021
Contributions:156 commits, 2 PRs, 128 pushes in 2 years
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