Matthew Cornell

Senior Research Software Enginner at University of Massachusetts Amherst

Amherst, Massachusetts, United States
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Summary

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Senior
🎓
Top School
Matthew Cornell is a seasoned senior research software engineer with over two decades of experience building production-grade systems across desktop, web, and cluster environments, currently focused on biostatistics and infectious disease forecasting at UMass Amherst. He architects and implements end-to-end solutions—APIs, data pipelines, databases, visualizations, and scalable web apps—most recently building and scaling the Django/Postgres-based Zoltar forecasting repository to hundreds of millions of rows. Language-agnostic and pragmatic, he programs primarily in Python but brings deep experience in Java, Scala, JavaScript, and SQL, and has written compilers, simulators, ML algorithms, and authoring tools. A longtime advocate of engineering discipline, he has coached teams in Extreme Programming, instituted CI and robust development practices, and saved operations costs through thoughtful infrastructure consolidation. Beyond hands-on engineering he pursues creative research and public-facing projects—from an NLP skeptical toolbox to a weather web app—and has published professionally, blending rigorous academic thinking with practical production delivery.
code11 years of coding experience
job19 years of employment as a software developer
bookUniversity of Massachusetts Amherst
bookBachelor's Degree, Electrical Engineering, Bachelor's Degree, Electrical Engineering at Bradley University
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Stackoverflow

Stats
4,134reputation
574kreached
34answers
33questions
Badges
unit-testing
top-5%
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Github Skills (132)

envfile10
standardized10
run-configuration10
forecast10
forecasts10
data-access10
atmospheric-modelling10
bootstrapping10
analytics10
python-modules10
github-pages10
visualization10
django9
qunit9
plugin9

Programming languages (11)

TypeScriptJavaRShellScalaMakefileJavaScriptHTML

Github contributions (5)

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An initial dashboard that provides a predtimechart-based forecast visualization component for the hub.
Contributions:4 releases, 42 reviews, 52 PRs in 1 year 6 months
visualization
reichlab/zoltpy

Mar 2019 - Jan 2023

A python module that interfaces with Zoltar https://github.com/reichlab/forecast-repository
Contributions:4 reviews, 154 commits, 23 PRs in 3 years 10 months
python-modules
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