Welcome!

I am a PhD student in the Computational Story Lab in the Vermont Complex Systems Institute at the University of Vermont.

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Research Interests

  • Computational social sciences
  • Health and storytelling
  • Evidenced-based social interventions
  • Digital epidemiology
  • Bayesian Machine Learning modeling in reproductive health

Personal Interests

  • Mountains
  • Books
  • Dogs (shout out to Senny!)
  • Finn-Merino Sheep (ours are named Wallace and Gromit!)
  • Volunteering as an social media/Google Non-Profit Ads coordinator with Wood4Good to help end heating insecurity in Vermont!

Recent News

  • January 2026: Presented ‘Detecting sub-populations in online health communities: A mixed-methods exploration of breastfeeding messages in BabyCenter Birth Clubs’ (here) at 1st Annual International Online Conferences on Societ ies 2026

  • December 2025: ‘Statistical laws and linguistics inform meaning in naturalistic and fictional conversation’ (Fehr et al., 2025) pre-print published to arXiv:2512.18072 (co-author)

  • November 2025: ‘Detecting sub-populations in online health communities: A mixed-methods exploration of breastfeeding messages in BabyCenter Birth Clubs’ (Beauregard et al., 2025) pre-print published to arXiv:2510.23692

  • Fall 2025: Led data analysis K-12 outreach events– South Burlington High School research students, Girls Who Code (Burlington Chapter), Women Can Do Conference (Randolph, VT)

  • September 2025: Started consultancy, Spire Training Group

  • July 2025: Fellowship, National Museum of Mathematics (MoMath) Mathematics Outreach Seminar and Training (MOST)

  • June 2025: ‘A suite of allotaxonometric tools for the comparison of complex systems using rank-turbulence divergence’ (St. Onge J, Fehr AMA, et al., 2025) (co-author) pre-print published to arXiv:2506.21808v1

  • June 2025: JMIR Formative Research article published ‘Misrepresentation of Overall and By-Gender Mortality Causes in Film Using Online, Crowd-Sourced Data: Quantitative Analysis’ (Beauregard, Danforth & Dodds, 2025)

  • April 2025: ‘Tokens, the oft-overlooked appetizer: Large language models, the distributional hypothesis, and meaning’ (Zimmerman et al., 2025) pre-print published to arXiv:2412.10924

  • April 2024: ‘Habitat Blocks: A Network Approach’ poster recognized by Center for Research on Vermont Annual Meeting 2024