Daniel Henderson
Graduate Research Assistant
Seattle, Washington, United States
Summary
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Rockstar🎓
Top SchoolDaniel Henderson is an applied/computational mathematician and software engineer with five years of experience building production data and ML platforms on AWS and a current graduate research focus on macrocirculatory hemodynamics. He has delivered scalable ingestion, analytics, and ML workflows—repartitioning petabytes of parquet, standardizing CI/CD, and cutting compute costs via Glue/EMR—while authoring open-source numerical tooling (BlockOpt.jl) from prior optimization research. At Michigan Tech he combines teaching and research, integrating PINNs and DeepONets into 1D/2D blood-flow inverse/forward problems under advisor Jiguang Sun. Comfortable spanning systems and scientific computing, he seeks roles at the intersection of production software, data platforms, and ML/AI engineering. His portfolio (danhenderson.dev) and prior work show a knack for turning complex numerical methods into reproducible, production-ready systems.
5 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Computational and Applied Mathematics, Master of Science - MS, Computational and Applied Mathematics at Michigan Technological University
English
Github Skills (50)
testing10
chromium10
analytics-engineering10
webkit10
browser-automation10
dbt-packages10
firefox10
adapter10
playwright10
science10
julia10
numerical9
programming-language9
data-quality9
python9
Programming languages (7)
Github contributions (5)
danphenderson/numerical-optimization
Jul 2021 - Feb 2025
This repository is all things pertaining to optimization
Contributions:2 PRs, 38 pushes, 2 branches in 3 years 7 months
danphenderson/baldin
Nov 2023 - Feb 2025
Contributions:5 reviews, 59 PRs, 181 pushes in 1 year 2 months
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