Jean-gabriel Young is an Assistant Professor of Mathematics and Statistics at the University of Vermont with 12 years of experience building computational statistics algorithms for epidemiology and complex systems. He bridges academic research and applied work through roles at UVM, a past postdoc at the University of Michigan, and consulting via his firm Complex Data LLC. His technical contributions include implementing and testing modularity matrix functionality in the widely used NetworkX library, reflecting deep expertise in network analysis and reproducible software. Trained as a physicist (PhD, Université Laval), he combines theoretical rigor from statistical mechanics and nonlinear dynamics with practical data-science solutions for infectious disease modeling. Based in Burlington, VT, he also participates in translational infectious-disease and complex-systems centers, translating models into public-health insights.
12 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (PhD), Physics, Doctor of Philosophy (PhD), Physics at Université Laval
Master's degree, Physics, Master's degree, Physics at Université Laval / Laval University
Contributions:32 commits, 17 PRs, 53 comments in 4 years 1 month
Contributions summary:Jean-gabriel primarily contributed to the implementation and testing of the modularity matrix functionality within the NetworkX library. This involved the creation of the `modularity_matrix` function, as well as the associated spectrum calculation. The commits include the addition of a directed modularity matrix, related tests, and documentation updates.
Contributions:11 commits, 10 pushes, 1 comment in 6 months
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Jean-gabriel Young - Assistant Professor at University of Vermont