The Computational Story Lab
Burlington, Vermont, United States
Summary
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SeniorThomas Mcandrew is an Associate Professor and PI of the Computational Uncertainty Lab who applies statistics, mathematics, and infectious disease modeling to improve public health decision-making. With nine years of experience spanning academia and applied biostatistics—including roles designing cardiovascular trials and combining forecasts at UMass Amherst—he builds tools and methodologies that translate uncertainty into actionable forecasts for public health officials. He augments classical statistics education with immersive, cross-university projects and practical training in epidemic modeling, while maintaining a research ethos of "meaningful, blatantly fun" work. Based in Bethlehem, PA, he blends rigorous PhD-level theory with hands-on clinical and regulatory experience, uniquely positioning him to bridge methodological innovation and real-world public health impact.
10 years of coding experience
Github Skills (3)
journal6
arxiv6
creative-commons5
Programming languages (3)
Github contributions (5)
petersheridandodds/universal-paper-template
May 2021 - Mar 2022
All purpose paper template with a base arxiv/revtex4 format and sample journal options
Contributions:11 commits in 10 months
arxivjournalpurposeoptionscreative-commons
petersheridandodds/kitchentabletools
Jul 2018 - Sep 2021
An assortment of useful scripts
Contributions:5 commits in 3 years 2 months
useful-scripts
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