Teague R. Henry
Scholar

Teague R. Henry

Google Scholar ID: 5SHRPgQAAAAJ
Assistant Professor, University of Virginia
quantitative psychologynetwork scienceneuroimagingpsychometrics
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Citations & Impact
All-time
Citations
1,375
 
H-index
15
 
i10-index
22
 
Publications
20
 
Co-authors
0
 
Contact
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Publications
3 items
Instruction-based Time Series Editing
2025
Cited
0
Ensemble of Large Language Models for Curated Labeling and Rating of Free-text Data
2025
Cited
0
Identifying nonlinear relations among random variables: A network analytic approach
2024
Cited
0
Resume
Background
  • Assistant professor at the University of Virginia with joint appointments in the Quantitative Psychology program and the School of Data Science.
  • Broadly builds and implements quantitative tools to estimate, model, and predict network structure, connectivity, and change over time.
  • Quantitative expertise includes graph theory, control methods, Bayesian estimation, and exponential random graph models.
  • Substantive expertise spans functional neuroimaging, neurodevelopmental disorders (e.g., autism, ADHD), and natural language processing (e.g., political blog topic analysis, semantic networks).
  • Currently focused on developing network methods for functional and structural neuroimaging, while also exploring commonalities and unique challenges of network data across disciplines—from sociology and business to psychiatry and medicine.