Thomas S Richardson

Thomas S Richardson is a Professor at the University of Washington, holding adjunct appointments in Economics and Electrical Engineering. He is also affiliated with the eScience Steering Committee and Center for Advanced Studies in the Behavioral Sciences at Stanford University (Fellow, 2004). His research focuses on graphical models, algorithmic model selection, Bayesian inference, causal models, and their applications in economics and biostatistics.

• BA, University of Oxford
• MS and PhD, Carnegie Mellon University

Key research areas include:

• Causal Inference: Instrumental variable models, counterfactuals, SWIGs (Single World Intervention Graphs), and identification of direct effects.
• Graphical Models: Acyclic directed mixed graphs, nested Markov properties, marginal log-linear parametrizations, and latent variable modeling.
• Applications: Epidemiology, econometrics, bone biology, and ecological inference.

His recent publications emphasize causal effect bounds, finite population testing, and structural nested mean models. Articles span topics like SWIGs, IV model analysis, and high-dimensional causal discovery.

• Scientific Awards:
  • Fulbright Fellowship (2014)
  • Institute for Advanced Studies, University of Bologna (2007)
  • Center for Advanced Studies in Behavioral Sciences, Stanford (2004)
  • Rosenbaum Fellow, Isaac Newton Institute (1997)
  • Rousseeuw Prize for Statistics (2022)