David Dooling
Data Scientist
Albuquerque, New Mexico, United States
Summary
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SeniorDavid Dooling is a Principal Data Scientist at RS21, combining hands-on data science with a background in physics-driven analysis to drive impactful decisions. His career spans Los Alamos National Laboratory and the Institute for Physical Sciences, where he supported stockpile stewardship and provided strategic intelligence through big-data methods. From 2015 to 2018, he advanced healthcare analytics at Innovative Oncology Business Solutions, applying machine learning to patient risk stratification and observational studies using SEER registries and linked SEER-Medicare data. He earned a Ph.D. in Theoretical Particle Physics from Brown University and an undergraduate physics degree with a math concentration magna cum laude from Columbia University, underscoring a deep quantitative foundation. Based in Albuquerque, NM, he blends rigorous research with production-grade data solutions that empower data-driven decisions across government, healthcare, and public-interest initiatives.
10 years of coding experience
Github Skills (71)
nlp9
notebook9
python9
jupyterlab9
word-embeddings9
machine-learning9
simple-framework9
sequence-labeling9
jupyterlab-extension9
jupyter-notebook9
pandas8
deep-learning8
language-processing8
named-entity-recognition8
pytorch8
Programming languages (6)
Github contributions (5)
doolingdavid/SEERMATCH2
Jun 2016 - Aug 2016
Contributions:265 pushes, 1 branch in 2 months
doolingdavid/IBA
Sep 2016 - Nov 2016
Contributions:163 pushes, 1 branch in 1 month
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