Alan Pearl

Contractor - Principal Data Scientist

Greater Hartford United States
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Summary

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Senior
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Top School
Alan Pearl is a Principal Data Scientist and former astrophysics postdoc who applies nine years of experience in scientific software, parallel ML, and statistical inference to production planning and large-scale data problems. After earning a PhD from the University of Pittsburgh and building generative, differentiable deep-learning pipelines at Argonne to model galaxy formation, he transitioned to industry work at Alaska Airlines and AI training for physics prompts. He leads several open-source Python projects and has a track record of turning complex cosmological simulations and mock catalogs into efficient, gradient-optimized workflows. Comfortable at the intersection of research and production, he brings deep domain expertise in generative modeling, normalizing flows, and computational scaling to solve practical business problems. An underappreciated strength is his ability to compress high-dimensional scientific insight into reproducible software that teams can deploy and iterate on.
code9 years of coding experience
job2 years of employment as a software developer
bookManchester High School
bookB.S., Physics, B.S., Physics at Rensselaer Polytechnic Institute
bookM.S., Ph.D., Physics, M.S., Ph.D., Physics at University of Pittsburgh
languagesEnglish, French, Spanish
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Github Skills (41)

galaxy10
cosmology9
simulation9
python9
simulations9
evolution9
pure-python9
scientific-computing8
science8
scale8
halo8
large-scale8
scipy8
algorithms8
algebra8

Programming languages (4)

JavaHTMLJupyter NotebookPython

Github contributions (5)

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AlanPearl/multigrad

Oct 2023 - Sep 2024

Framework to implement JAX models that can be distributed over MPI
Contributions:8 releases, 1 review, 2 PRs in 11 months
AlanPearl/mocksurvey

Mar 2019 - Dec 2022

Contributions:253 commits, 221 pushes, 1 branch in 3 years 10 months
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Alan Pearl - Contractor - Principal Data Scientist