Thomas Mcclintock
Data Scientist
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolThomas Mcclintock is a Data Scientist in San Francisco with 10 years of experience applying machine learning and statistical methods to finance and industry problems. He transitioned from a PhD and postdoctoral research in cosmology—where he used Bayesian inference and large-scale simulations to study dark matter and dark energy—to building production ML systems at SIG, Cerebral, and now HubSpot. He combines high-performance computing and probabilistic modeling skills with hands-on experience deploying generative and serving models on AWS. Comfortable across research and product contexts, he enjoys collaborating with engineers and stakeholders to turn complex data into actionable solutions. A less obvious strength: his background in gravitational lensing and astronomical surveys informs a rigorous, simulation-driven approach to uncertainty quantification in ML.
10 years of coding experience
5 years of employment as a software developer
Master of Science - MS, High Performance Computing, Master of Science - MS, High Performance Computing at The University of EdinburghThe University of ArizonaBachelor of Arts - BA, Astrophysics, Bachelor of Arts - BA, Astrophysics at Amherst CollegeHigh School Diploma, High School Diploma at Harborfields High School
Github Skills (200)
testing10
data-manipulation10
data-cleaning10
schema10
tabletop10
data-validation10
schema-validation10
data-science10
python10
polar10
pandas-dataframe10
gtk10
touches10
pandas10
galaxy10
Programming languages (12)
Github contributions (5)
EbTech/AutoODE-DSL
Apr 2021 - Jul 2021
Contributions:115 commits, 6 PRs, 58 pushes in 2 months
tmcclintock/cluster_toolkit
Oct 2017 - Nov 2019
Tools for analyzing galaxy clusters.
Contributions:389 commits, 3 PRs, 403 pushes in 2 years 2 months
analyzingpythonclustersgalaxygalaxy-clusters
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