Onur Erbilgin
Senior Data Scientist
Berkeley, California, United States
Summary
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Senior🎓
Top SchoolOnur Erbilgin is a Senior Data Scientist in Berkeley with a decade of experience bridging wet-lab biology and computational modeling to turn complex biological data into actionable insights. He combines bench training in microbiology and biochemical genetics with expertise in metabolomics, reaction-network algorithms, and predictive modeling developed during a postdoc and roles at Amyris. At Amyris he has led programs to predict fermentation performance from high-throughput phenotype screens and built AI/ML and agentic workflows to surface new product opportunities from unstructured data. Notably, he created an integration platform that links mass spectrometry signals to genes via chemical networks and developed first-principles community dynamics models, demonstrating a rare mix of experimental rigor and algorithmic innovation. He is also an experienced science communicator who volunteers in outreach and classroom visits, translating technical science for diverse audiences.
10 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Microbiology, Doctor of Philosophy (Ph.D.), Microbiology at University of California, BerkeleyUniversity of California, San Diego
Turkish, English
Github Skills (4)
consensus6
data-analysis2
visualization1
reference-implementation1
Programming languages (2)
Github contributions (5)
oerbilgin/toolbox
Mar 2017 - Jul 2018
Contributions:2 PRs, 70 pushes, 2 branches in 1 year 4 months
functions-pythonhelpfulpython
biorack/magi
Jan 2017 - Mar 2019
Quickly find and score consensus between metabolite identifications and gene annotations
Contributions:264 commits, 20 PRs, 95 pushes in 2 years 1 month
consensus
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