Dr Gabriel Wallin

Lecturer in Statistics

Research Overview

My research interests lie in the intersection between latent variable modeling and statistical learning. Much of my research is motivated by concepts of fairness and interpretability in the social and behavioral sciences. Topics include:

  • the structural learning of latent variable models,
  • multivariate outlier detection,
  • model-based clustering,
  • algorithmic fairness in educational testing,
  • change-point detection for latent factor models.
  • Social and Economic Statistics
  • STOR-i Centre for Doctoral Training