Jaron Thompson

Modeler at Ark

Greater Boston United States
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Summary

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Senior
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Top School
Jaron Thompson is a modeling-focused scientist and engineer with eight years of research and applied experience bridging chemical engineering, statistical modeling, and experimental lab work. He holds a PhD in Chemical Engineering from the University of Wisconsin–Madison and has applied stochastic and statistical approaches to problems ranging from soil microbiome carbon sequestration to biophysical tissue models. Jaron’s background includes internships and research at Los Alamos National Laboratory and industry R&D roles where he combined programming, image analysis, CAD, and hands-on wet-lab techniques. Now a modeler at Ark in Greater Boston, he brings a rare blend of advanced quantitative modeling, experimental assay design, and practical device prototyping to interdisciplinary teams. Colleagues value his ability to translate complex biological systems into testable models and reproducible lab workflows.
code8 years of coding experience
job1 year of employment as a software developer
bookDoctor of Philosophy - PhD, Chemical Engineering, Doctor of Philosophy - PhD, Chemical Engineering at University of Wisconsin-Madison
bookMaster's degree, Chemical Engineering, Master's degree, Chemical Engineering at Colorado State University
bookAlbuquerque Academy (High School)
languagesEnglish
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Stackoverflow

Stats
1reputation
0reached
1answer
0questions
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Github Skills (9)

python6
linear-regression5
pattern5
synthetic5
pattern-recognition4
bayesian4
regression4
machine-learning3
synthetic-data2

Programming languages (1)

Jupyter Notebook

Github contributions (5)

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Python implementation of methods described in "Pattern Recognition and Machine Learning" by Christopher Bishop to perform Bayesian Linear regression on synthetic data.
Contributions:2 PRs, 23 pushes, 3 branches in 5 years 7 months
regressionpythonbishoppython-implementationrecognition
Contributions:8 commits, 4 pushes in 1 year 6 months
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Jaron Thompson - Modeler at Ark