Janet Matsen
Data Scientist ( Software Engineer, Machine Learning )
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolJanet Matsen is a data scientist and software engineer with 11 years of experience applying machine learning to biotechnology, currently building scalable ML capabilities at Benchling. She previously led development of a fully automated strain design system at Zymergen that doubled edit-stack hit rates versus human and algorithmic baselines and operationalized model pipelines into SQL/LIMS-backed products. Her PhD in Chemical Engineering from the University of Washington fused synthetic biology, advanced data science, and cloud-enabled analysis to engineer microbes and decode microbial community interactions. A frequent presenter to both ML and biology audiences (NeurIPS, PyCon) she blends rigorous computational modeling—flux balance analysis, sparse CCA, graph mining—with hands-on lab-minded tooling and reproducibility practices. Colleagues describe her as an analytical learner who turns complex biological data into production-ready software that accelerates biological design.
11 years of coding experience
11 years of employment as a software developer
BS, Chemical Engineering, BS, Chemical Engineering at University of California, BerkeleyDoctor of Philosophy (Ph.D.), Data Science, Computational Biology, Metabolic Engineering, Doctor of Philosophy (Ph.D.), Data Science, Computational Biology, Metabolic Engineering at University of Washington
Stackoverflow
113reputation
9kreached
0answers
3questions
Github Skills (99)
altair9
vega-lite9
systems-biology9
vega9
computational-biology9
sbml9
deploying9
amazon9
python8
constraint8
huggingface8
metabolic-models8
sagemaker8
notebook8
minikube8
Programming languages (8)
Github contributions (5)
JanetMatsen/Plasmids
Nov 2014 - Jun 2015
Contributions:44 commits, 24 pushes in 6 months
JanetMatsen/Machine-Learning
Jan 2016 - Mar 2016
Contributions:28 commits, 21 pushes, 1 branch in 2 months
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