Thomas S. Richardson is a Professor in the Department of Statistics at the University of Washington, Seattle, USA, and an Adjunct Professor in the Departments of Economics and Electrical Engineering. He received his PhD in Logic, Computation and Methodology from CMU. Richardson is a Fellow of the Center for Advanced Studies in the Behavioral Sciences at Stanford University and a 2014 U.S. Fulbright Fellowship recipient. In 2009 he received the Uncertainty in Artificial Intelligence (UAI) Best Paper Award.
Richardson’s research interests include causal inference, graphical models and multivariate statistics. Together with James M. Robins, he created a new unification of graphs and potential outcome models via Single World Intervention Graphs (SWIGs). He has also developed two new classes of graphical models, called ancestral graphs and nested Markov models, which represent causal systems in which unmeasured ‘confounding’ variables may be present.
- Causality, Spring 2022. Visiting Scientist, Program Organizer and Workshop Organizer.