William H. W. Thompson

Affiliations. PhD student in Complex Systems and Data Science at the Vermont Complex Systems Center

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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:

  • Graphical Models: Understanding why algorithms like Belief Propagation fail on loopy graphs and how to “tune” them on loopy graphs.

  • Sampling-Free Inference: Developing Fourier-space representations for Bayesian Neural Networks to enable exact learning without expensive sampling.

  • 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
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.

selected publications

  1. Reconstructing Networks from Simple and Complex Contagions
    Nicholas W. Landry, William Thompson, Laurent Hébert-Dufresne, and 1 more author
  2. Levy Flights of the Collective Imagination
    William H. W. Thompson, Zachary Wojtowicz, and Simon DeDeo