Josue Rodriguez, PhD

Data Scientist

McGraw Hill

About Josue

Hi! My name is Josue. I’m a data scientist at McGraw Hill where I’m helping build personalized learning experiences at scale. Previously, I completed my PhD in Quantitative Psychology at UC Davis where I focused on developing Bayesian models for social-behavior science.


  • Bayesian statistics
  • A/B testing and experimental design
  • Machine learning
  • Causal inference
  • Predictive inference


  • PhD in Quantitative Psychology, 2023

    University of California, Davis

  • MA in Experimental Psychology, 2019

    Cal Poly Humboldt

  • Minor in Statistics, 2019

    Cal Poly Humboldty

  • BA in Psychology, 2017

    Cal Poly Humboldt

Recent Posts

Model Selection Bias

Over the last few months, a frequent topic of conversation with my lab mate Donny has been the issue of valid inference following model …

Tutorial: Bayesian Testing of Central Structures in Psychological Networks

Introduction This tutorial demonstrates how to use networks (specifically Gaussian graphical models or GGMs) to Generate hypotheses …