Will Thompson

Will Thompson

Ph.D. student (Complex Systems & Data Science)

Affiliated with the LSD
Affiliated with the CDL

Biography

Will is a Ph.D. student and research assistant advised by Jean Gabriel Young and Laurent Hébert-Dufresne. His research centers on modeling and inferring the diffusion of information on social networks, studying binary state dynamics on higher order networks and data-driven inference of opinion dynamics models.

From 2021 to 2022 he worked as a post-bac researcher at Los Alamos National Labs working on the Coherent Captain Mills searching for dark matter. In 2019 he worked for the MITRE corporation applying complex systems science to solve real world problems.

Education

2022-2026 (est)
Ph.D in Complex Systems and Data Science
at
University of Vermont
Jean Gabriel Young and Laurent Hébert-Dufresne
2016-2020
BA in Liberal Arts
at
St. John's College, Santa Fe
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Latest publications

2026 |
preprint

Emergent contagion complexity: Disentangling mechanistic complexity from correlated heterogeneity

K. Tang, D. Kaiser, W. H. W. Thompson, J.-G. Young, L. Hébert-Dufresne, and N. W. Landry
2026 |
preprint

Simpson's paradox explains the ubiquity of nonlinear, threshold, and complex contagions

L. Hébert-Dufresne, A. Allard, J.-G. Young, W. H. W. Thompson, and G. St-Onge
2026 |
article

Sensitivity analysis of epidemic forecasting and spreading on networks with probability generating functions

M. C. Boudreau, W. H. W. Thompson, C. Danforth, J.-G. Young, and L. Hébert-Dufresne
J. R. Soc. Interface 23(235), 20250686
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