Dennis Thomas
Computational Scientist
Richland, Washington, United States
Summary
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Senior🎓
Top SchoolDennis Thomas is a computational scientist with over a decade of experience applying mathematical modeling, simulation, and AI/ML to problems spanning chemical engineering, computational biology, nanoscience, risk analysis, and national security. Based at Pacific Northwest National Laboratory, he has built physics-based multiscale models and data-driven predictors for infectious disease dynamics, nanoparticle dosimetry and toxicity, and has developed domain-aware AI tools for early detection of nuclear-technology–directed research. He is fluent in Python, C/C++, Fortran, R, Matlab and high-performance computing, and combines those skills with ontology and graph-analytics expertise (notably the NanoParticle Ontology) to make heterogeneous scientific data interoperable. His work has supported NIH, DHS, DTRA, DoD and NNSA missions and resulted in a sustained scholarly record across peer-reviewed articles, book chapters and technical reports. Beyond modeling, he has taught a broad spectrum of mathematics courses and recently pursued formal AI/ML training at the McCombs School of Business, reflecting a continual push to marry domain science with modern machine learning.
9 years of coding experience
4 years of employment as a software developer
Artificial Intelligence and Machine Learning, Artificial Intelligence and Machine Learning at Texas McCombs School of BusinessIndian Institute of Technology MadrasD. Sc., Chemical Engineering, D. Sc., Chemical Engineering at Washington University in St. Louis
English, MalayalamGithub contributions (2)
Electrostatics/GIBS
Apr 2017 - Jul 2017
Contributions:28 commits, 29 pushes in 3 months
pnnl/ZebrafishBMD
Sep 2018 - Nov 2018
Contributions:12 pushes, 1 branch in 2 months
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