Andrew Dolgert

Computational Scientist

Pittsburgh, Pennsylvania, United States
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Summary

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Senior
🎓
Top School
Andrew Dolgert is a computational scientist and software architect with 11+ years of experience building high-performance, validated scientific and AI systems for academia, government, and health forecasting. He blends deep expertise in stochastic discrete-event systems, survival analysis, PDEs, demography and epidemiology with hands-on chip‑aware performance tuning, parallel programming, and provenance-aware software design. At Carnegie Mellon he now verifies next‑generation AI frameworks and edge inference using lossy number systems and agentic deployment practices for DARPA and DoD partners. Prior roles include designing large-scale forecasting pipelines and statistical software at IHME and developing a pioneering C++ stochastic simulation library used for epidemiological and agricultural disease modeling. Comfortable across Julia, Python, C/C++, Fortran, assembly and many other languages, he pairs theoretical rigor from a PhD in physics with pragmatic optimization for exascale and embedded platforms. An often-overlooked strength is his track record of translating low-level performance insights into robust, auditable scientific workflows that scale from supercomputers to edge devices.
code11 years of coding experience
job20 years of employment as a software developer
bookBA, Physics, Math, BA, Physics, Math at Williams College
bookPhD, Physics, PhD, Physics at University of Virginia
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Github Skills (45)

statistics10
multistage10
space-filling-curves10
testing9
unit-testing9
julia9
python-data9
unit-test9
hilbert-curve9
ssh8
python8
ansible8
testcase8
algorithms8
simulation7

Programming languages (12)

JuliaTypeScriptRC++ShellCCMakeTeX

Github contributions (5)

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Compare population maps of Bioko island in Equatorial Guinea
Contributions:1 release, 16 PRs, 78 pushes in 1 year 8 months
guineasimilarityislanddatamining
ihmeuw/ihme-python-course

Oct 2017 - Aug 2020

IHME's Python data science curriculum for new employees
Contributions:10 commits, 2 PRs, 1 push in 2 years 10 months
python-data
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