Kenneth Tyler Wilcox

Kenneth Tyler Wilcox

Postdoctoral Associate

Department of Psychology, Cornell University


Kenneth is a postdoctoral associate in the Department of Psychology and the Center for Integrative Developmental Science at Cornell University. He received his Ph.D. in Quantitative Psychology at the University of Notre Dame. His research is currently focused in two streams: integrative data analysis and text mining. He is generally interested in Bayesian statistics, multilevel modeling, topic modeling, statistical software development, and their application to advancing psychological and health research. He currently works with Dr. Anthony Ong in the Center for Integrative Developmental Science studying affective mechanisms to improve health outcomes across the lifespan.

  • Integrative data analysis
  • Meta-analysis
  • Multilevel modeling
  • Topic modeling
  • Statistical software development
  • Developmental affective science
  • PhD Quantitative Psychology, 2022

    University of Notre Dame

  • MS Applied Statistics, 2017

    Rochester Institute of Technology

  • BS Psychology, 2013

    Rochester Institute of Technology

Recent Publications

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(2020). Bayesian supervised topic modeling with covariates. Multivariate Behavioral Research, 55(1), 141 (Abstract).

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Instructor of Record
University of Notre Dame
2020 – Present Notre Dame, IN
  • PSY63199: Graduate Seminar: Quantitative Study (graduate course)
Teaching Assistant
University of Notre Dame
2019 – 2020 Notre Dame, IN
  • PSY60101: Quantitative Methods II (graduate course)
  • PSY61101: Quantitative Methods II Lab (graduate course)
  • PSY60100: Quantitative Methods I (graduate course)
  • PSY61100: Quantitative Methods I Lab (graduate course)
Teaching Assistant
Rochester Institute of Technology
2014 – 2017 Rochester, NY
  • STAT-731: Elements of Statistical Theory (graduate course)
  • STAT-747: Principles of Statistical Data Mining (graduate course)
  • STAT-611: Statistical Software (graduate course)
  • STAT-511: Statistical Software
  • MATH-252: Probability and Statistics II for Engineers