Kyle Ferchen
Research Scientist - Machine Learning at Meta
Foster City, California, United States
Summary
👤
Senior🎓
Top SchoolKyle Ferchen is a machine learning research scientist with a PhD in Cancer and Cell Biology and over a decade of research experience, now applying multimodal ML at Meta. He specializes in integrating single-cell sequencing, spectral flow cytometry, and computational modeling to map cell states and gene regulatory networks, work that contributed to a Nature paper on blood cell development. Comfortable across Python, R, C++, and visualization stacks (including D3), he builds tools that fuse high-parameter cytometry with transcriptional atlases for interpretable biological insights. At Cincinnati Children’s he led projects combining CITE-seq/TEA-seq/ChIP-seq to create atlases of stem and progenitor populations, then translated that expertise into production-scale ML research. Known for turning experimental complexity into reusable software and visualizations, he blends domain biology with rigorous model development and data storytelling. Based in Cincinnati, he brings both bench-side intuition and production ML skills to problems at the intersection of computational biology and applied machine learning.
10 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Cancer and Cell Biology, Doctor of Philosophy - PhD, Cancer and Cell Biology at University of CincinnatiBachelor’s Degree, Natural Sciences, 3.856, Bachelor’s Degree, Natural Sciences, 3.856 at Xavier University
English
Github Skills (30)
git10
github10
single-cell-analysis8
variational-autoencoder8
autoencoder8
hierarchical8
seq7
github-copilot7
sequencing7
tsne7
density-estimation7
user-experience6
copilot6
vscode6
temporal-data6
Programming languages (5)
Github contributions (5)
KyleFerchen/pyInfinityFlow
Oct 2022 - Jan 2023
Contributions:26 commits, 37 pushes, 7 comments in 2 months
KyleFerchen/MultiLin_Project_Code_Repository
Sep 2024 - Feb 2025
Contributions:2 pushes in 5 months
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