Theo Knijnenburg
Director, Computational Biology & Machine Learning, And Faculty Investigator
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolTheo Knijnenburg is a computational biologist and machine learning leader with over 15 years in interdisciplinary research, currently directing Computational Biology & Machine Learning and serving as a Faculty Investigator at the Altius Institute. He has led teams and hiring efforts at institutions including the Allen Institute and Institute for Systems Biology, translating large, heterogeneous biological datasets into interpretable ML models that advance understanding of human disease. Theo blends deep academic training (PhD-level research) with hands-on scientific directing and senior research roles, producing a strong publication and collaboration record. He is skilled at bridging computational rigor and biological insight, prioritizing human interpretability in models often used for complex cellular and disease systems. Based in Seattle, he is noted for consistently moving projects from exploratory analysis to institutional research programs. An underappreciated strength is his sustained commitment to mentorship and building interdisciplinary teams that scale technical approaches across labs.
11 years of coding experience
19 years of employment as a software developer
Delft University of Technology
Github Skills (12)
combine6
matlab6
python5
machine-learning4
deep-learning4
pytorch4
autoencoder4
data-science3
lottery3
react2
generative-adversarial-network2
webapp2
Programming languages (3)
Github contributions (5)
AllenCell/stemcellorganellesizescaling
Oct 2020 - Dec 2022
Contributions:134 commits, 8 PRs, 131 pushes in 2 years 2 months
tknijnen/LOBICO
Apr 2015 - Mar 2019
Contributions:2 pushes, 1 branch, 1 comment in 4 years
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