William H. W. Thompson
Affiliations. PhD student in Complex Systems and Data Science at the Vermont Complex Systems Center
about me
I am Will Thompson, a PhD student in Complex Systems and Data Science at the Vermont Complex Systems Center. I work in the Joint Lab, where I am fortunate to be advised by Jean-Gabriel Young and Laurent Hébert-Dufresne.
I received a B.A. in the Liberal Arts from St. John’s College in Santa Fe, NM (May 2020). Afterward, I joined the Modeling and Analysis Innovation Center at the MITRE Corporation. I later worked as a post-bac researcher at Los Alamos National Laboratory on Coherent CAPTAIN-Mills, a sub-GeV dark-matter detector.
research
I study how information and dynamics flow through networks. My research sits at the junction of Network Science, Bayesian Inference, and Machine Learning.
I am primarily interested in inverse problems for network dynamics, reconstructing the underlying rules of a system from dynamics on a network. My current work focuses on three key challenges:
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Graphical Models: Understanding why algorithms like Belief Propagation fail on loopy graphs and how to “tune” them on loopy graphs.
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Sampling-Free Inference: Developing Fourier-space representations for Bayesian Neural Networks to enable exact learning without expensive sampling.
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Learning Social Dynamics: Reverse-engineering the rules of social and biological contagions by observing their spread across complex networks.
news
| Nov 8, 2025 | Excited to have been invited to attend the Bridging the Interdisciplinary Gap in the Mathematics of Modeling Social Phenomena workshop at BIRS! Workshop Details |
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| Jul 1, 2025 | Had a truly life-changing experience participating in the SFI Complex Systems Summer School. Program Information |
| Dec 15, 2024 | I presented a poster at Dynamics Days 2025 in Denver, CO. The poster, “Sensitivity of Epidemic Forecasts with Statistical Condition Estimation for Probability Generating Functions,” is available here: Poster PDF. |
| Oct 20, 2024 | Excited to announce our paper, led by Nicholas Landry, Reconstructing networks from simple and complex contagions in Physical Review E. Check out the code and data at GitHub |
| Sep 20, 2024 | I used the method of characteristics to solve a higher order voter model. Check out the slides: Slides |
| Jun 15, 2024 | I presented (with co-authors) “Inferring Interaction Kernels in Stochastic Opinion Dynamics Models” at NetSci 2024 in Québec City, QC. Slides are now available. |

