Gabriel Wallin

Dr. Gabriel Wallin is an Assistant Professor in Statistics at the School of Mathematical Sciences, Lancaster University. Previously, he held postdoctoral positions at Inria and a Research Fellow role at the London School of Economics and Political Science, where he was supervised by Dr. Yunxiao Chen and Professor Irini Moustaki. His academic journey began with a PhD from Umeå University in 2020 under Professor Marie Wiberg.

• Education:
  • PhD in Statistics, Umeå University (2020)
  • Supervisor: Marie Wiberg

Dr. Wallin's research bridges latent variable modeling and statistical learning, focusing on fairness and interpretability in social, behavioral, and health sciences. Key areas include structural learning of latent models, multivariate outlier detection, model-based clustering, algorithmic fairness in education, and change-point detection for latent factors. His methodology development addresses test score equating, robustness analysis, and sparse loadings in factor models.

Recent publications highlight trends in propensity score methods for test equating (2025), latent change-point modeling for educational assessment (2025), and sparse rotation techniques for exploratory factor analysis (2023). Collaborative work spans educational testing, psychometrics, and social data science.

• Scientific Awards:
  • Best Reviewer Award, Psychometric Society (2025)
  • ODA Early Career International Fellowship (2024)

Dr. Wallin supervises PhD student Yawen Ma and actively collaborates with researchers like Yunxiao Chen and Marie Wiberg. He has secured grants from EPSRC, Duolingo, and the ODA, with recent projects on test security and fairness in digital learning environments. His service roles include co-editing Psychometric Society proceedings and associate editorships at Teaching Mathematics and its Applications.