Daniel Reuman
Professor And Senior Scientist at University of Kansas
Lawrence, Kansas, United States
Summary
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Senior🎓
Top SchoolDaniel Reuman is a quantitative ecologist and senior scientist who translates mathematical and statistical theory into practical tools for understanding ecology and global change. With a PhD in Mathematics and over a decade leading funded research groups at Imperial College and the University of Kansas, he builds and ships open-source software (notably R packages wsyn and tsvr) that embed novel methods into reproducible workflows. His work spans machine learning, modeling, and algorithm development and has appeared in high-impact journals such as PNAS, Science, and Nature Climate Change. A recipient of the Humboldt Research Award and McDonnell Complex Systems Scholar award, he combines rigorous theory with effective science communication to diverse audiences. He is actively exploring how ecological quantitative methods can be deployed in business and policy contexts, bringing academic depth to applied decision-making.
9 years of coding experience
7 years of employment as a software developer
Bachelor's degree, Mathematics, Bachelor's degree, Mathematics at Harvard UniversityDoctor of Philosophy - PhD, Mathematics, Doctor of Philosophy - PhD, Mathematics at University of ChicagoGithub contributions (5)
reumandc/wsyn
Jun 2018 - May 2022
Contributions:105 pushes, 1 branch, 2 tags in 3 years 11 months
reumandc/tsvr
May 2018 - Jan 2021
Contributions:25 pushes, 2 branches, 1 tag in 2 years 8 months
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