Anna Yeaton
Sr Computational Biologist
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolAnna Yeaton is a computational biology team lead with nine years of experience building and scaling analysis pipelines for single-cell and spatial transcriptomics. Based in New York, she progressed from PhD work in systems and computational biomedicine at NYU to research roles at Broad Institute and internships at Microsoft and Agios, before leading spatial transcriptomics and external collaborations at Immunai. She blends deep academic training with practical industry delivery—designing reproducible workflows, coordinating cross-institutional collaborations, and mentoring teams to translate complex biology into actionable insights. Known for bridging machine learning teaching experience with hands-on bioinformatics, she excels at turning noisy high-dimensional data into interpretable results. Colleagues rely on her to steer technical strategy for emerging spatial technologies while keeping projects aligned to translational goals.
9 years of coding experience
6 years of employment as a software developer
Systems and Computational Biomedicine, Systems and Computational Biomedicine at NYU School of Medicine, Vilcek Institute of Graduate Biomedical SciencesBachelor’s Degree Biology General, Bachelor’s Degree Biology General at University of Massachusetts AmherstGeorgetown High School
English, Japanese
Github Skills (6)
bioinformatics6
genome6
r5
genomics5
gene-expression3
variants2
Programming languages (4)
Github contributions (5)
ayeaton/DL_hyperparameter
Mar 2019 - Jan 2020
Contributions:25 commits, 19 pushes, 2 branches in 10 months
ayeaton/HHOT
Mar 2022 - Sep 2022
Contributions:5 commits, 5 pushes, 1 branch in 6 months
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