Tommy Jones
Visiting Associate Professor Of The Practice
Washington, District of Columbia, United States
Summary
👤
Senior🎓
Top SchoolTommy Jones is a data scientist and academic leader with 12 years of experience applying machine learning and statistical rigor to complex, real-world problems across automotive, federal policy, and venture investment domains. He combines deep quantitative training (MS in Math & Statistics, PhD work in Computational Science) with hands-on engineering—authoring three widely used open-source packages and deploying ML systems in production for BMW and the Federal Reserve. As a former In-Q-Tel technical SME he helped steer nearly $17M in ML investments and coordinated product development between government agencies and startups. He teaches graduate courses in ML and deep learning, rapidly designs curriculum (including using LLMs) and builds bespoke NLP pipelines that convert narrative data into actionable time-series signals. Colleagues know him for translating technical complexity into strategic decisions and for blending academic research with practical product delivery.
12 years of coding experience
10 years of employment as a software developer
Master of Science (MS) Mathematics and Statistics, Master of Science (MS) Mathematics and Statistics at Georgetown UniversityInternational Relations, International Relations at Webster University ThailandDoctor of Philosophy (PhD) Computational Science and Informatics, Doctor of Philosophy (PhD) Computational Science and Informatics at George Mason UniversityBachelor of Arts (BA) Economics, Bachelor of Arts (BA) Economics at William & Mary
passable thai, poor mandarin, worse spanish, English
Stackoverflow
390reputation
13kreached
13answers
3questions
Github Skills (63)
latent-dirichlet-allocation10
index-html10
bag-of-words10
allocation10
tidyverse10
text-analysis10
tidymodels10
tidy10
tsne10
mining10
information-theory10
dplyr10
topic-models10
text-mining10
topic-modeling10
Programming languages (5)
Github contributions (5)
TommyJones/covid_fda_eua_tests
May 2020 - Jun 2020
Contributions:29 commits, 14 pushes, 1 branch in 1 month
TommyJones/tidylda
Jan 2020 - Nov 2022
Implements an algorithim for Latent Dirichlet Allocation using style conventions from the [tidyverse](https://style.tidyverse.org/) and [tidymodels](https://tidymodels.github.io/model-implementation-principles/index.html).
Contributions:5 releases, 440 commits, 24 PRs in 2 years 11 months
style-conventionsinformation-theoryprinciplestidymodelslda
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