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Allison Tegge, Ph.D.

Research Associate Professor
  • Addiction Recovery Research Center

The Tegge Lab develops advanced computational models to analyze complex multidimensional data to address problems in substance use disorder and addiction recovery. The team applies these methods to high-dimensional health behavior datasets that include substance use, quality of life, psychosocial functioning, behavioral economics, and treatment outcomes.

Our Research Projects

ROAD: Recovery from OUD Open Access Data
  •  Harmonize disparate datasets across the cascade of care, from initial treatment to long-term OUD recovery.
  • Map out the complex personal, clinical and social dimensions of OUD recovery.
LSTR: Long-term Study of Recovery
  • Study of long-term recovery from Alcohol Use Disorder (AUD).
  • Prospectively collects data to reconstruct 12 years of AUD recovery.
  • Explores AUD recovery outcomes including drinking, remission, and psychosocial functioning.
MTPS: Multiple Tobacco Product Subgroups
  • Identify subgroups of multiplle tobacco product use.
  • Use large, high-dimenstional nationally representative datasets.

Resources

  • A tool to learn about addiction and recovery success.
  • Complete monthly compensated online surveys.
  • Resources include online forum, artistic expressions, lectures, and more.
  • Launched in 2011 by Dr. Warren Bickel
Bayesian Clustering Factor Models
  • Analyzes complex, high-dimensional data in a data driven perspective.
  • Performs dimensions reduction and concomitant clustering.
Bayesian Dynamic Clustering Factor Models
  • Considers temporal transitions among subgroups.
  • Identify moderators and predictors of subgroup transitions.
  • Identify personalized trajectories.
Chatbot based Episodic Future Thinking
  • Develops EFT cues using ChatGPT.
  • Enables large, scalable implementation.
  • Reduces participant effort.
  • Identify the set of regressors that are supported by the data.
  • Increases replicability with fewer superfluous findings.
  • Increases interpretability through parsimonious models.

About Dr. Tegge

Research Associate Professor, Fralin Biomedical Research Institute at VTC, 2023-present

Research Associate Professor, Dept. of Statistics, College of Science, Virginia Tech, 2023-present

Associate Professor, Dept. of Basic Science Education, Virginia Tech Carilion School of Medicine, 2023-present

  • University of Missour-Columbia, Ph.D., Informatics
  • University of Illinois Urbana-Chapaign, M.S., Bioinformatics
  • University of Illinois Urbana-Chapaign, B.S., Animal Sciences

Research Assistant Professor, Dept. of Statistics, College of Science, Virginia Tech, 2016-2023

Assistant Professor, Dept. of Basic Science Education, Virginia Tech Carilion School of Medicine, 2016-2023

National Institutes of Health Postdoctoral Fellow, Dept. of Computer Science, College of Engineering, Virginia Tech, September 2014-December 2016

Post-doctoral Research Associate, Dept. of Computer Science, College of Engineering, Virginia Tech, January 2013-September 2014

Graduate Research Assistant, Informatics Institute, University of Missouri-Columbia,  August 2008-December 2012

Database Programmer, Dept. of Animal Sciences,University of Illinois Urbana-Champaign, May 2008-August2008

Graduate Research Assistant, Dept. of Animal Sciences,University of Illinois Urbana-Champaign, August 2006-August 2008

Undergraduate Research Assistant, Dept. of Animal Sciences,University of Illinois Urbana-Champaign, August 2005-August 2006

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Addiction Recovery Research Center

Meet the Team

Collaborators

  

Interested in joining us? Please reach out to Dr. Tegge! 

 

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