Daniel Mattox
Computational Biologist II
Seattle, Washington, United States
Summary
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Top SchoolDaniel Mattox is a Senior AI Scientist and computational biologist with nine years of experience applying machine learning and structural biology to high-dimensional immunology and disease datasets. He builds sequence- and structure-based models to predict T cell receptor specificity, translating in-house repertoire and multiomics data into actionable insights for therapeutic discovery. His PhD work at Dartmouth combined statistical and physical models to dissect proteinâglycan interactions, giving him a rare blend of quantitative rigor and structural intuition. At Adaptive he partnered with Microsoft on antigen mapping that revealed novel signals in multiple sclerosis, and he now continues this translational focus at Augment Biologics. He is fluent in Python and R, grounded in biostatistics and epidemiology, and comfortable moving models from research into production-ready ML tools. Outside typical bioinformatics roles, he has experience building end-to-end data pipelines for complex -omics projects (including work at NASA Ames), which informs his pragmatic approach to scalable analysis.
9 years of coding experience
1 year of employment as a software developer
North Carolina School of Science and MathematicsDoctor of Philosophy (Ph.D.), Quantitative Biomedical Sciences, Doctor of Philosophy (Ph.D.), Quantitative Biomedical Sciences at Dartmouth CollegeBachelorâs of Science, Quantitative Biology, Bachelorâs of Science, Quantitative Biology at University of North Carolina at Chapel Hill
English, German
Github Skills (12)
anaconda10
folding9
language-server-protocol9
qt9
spyder9
pyqt9
python-development9
ide9
bioinformatics8
development-environment8
python8
protein-structure7
Programming languages (2)
Github contributions (5)
demattox/lec_gly_binding
Mar 2021 - Aug 2021
Contributions:23 pushes in 4 months
jdrubin91/GeneLab-Microarray
Jun 2018 - Aug 2018
Contributions:182 commits, 170 pushes in 2 months
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