My research interests include philosophy of science, probability and statistics, artificial intelligence, cognitive science, and applications of probabilistic modeling to fields such as medicine, biology, psychology, and finance. These interests have resulted in my publishing numerous papers in the broad area of reasoning under uncertainty during the past 30 years. Books I have written include Probabilistic Reasoning in Expert Systems (1989); Learning Bayesian Networks (2004); Foundations of Algorithms (1996, 1998, 2003, 2010), which has been translated into three languages; Probabilistic Methods for Financial and Marketing Informatics (2007); Probabilistic Methods for Bioinformatics (2009); Contemporary Artificial Intelligence (2012); and Artificial Intelligence: With an Introduction to Machine Learning (2018).
     My seminal 1989 text Probabilistic Reasoning in Expert Systems served to establish the field we now call Bayesian networks, and my leading 2004 text Learning Bayesian Networks formalized learning Bayesian networks from data as a field of study.
     I have an international reputation both as a theoretician and a practitioner and have been invited to speak and conduct classes nationally and internationally.
Areas of Research / Professional Expertise
Bayesian networks, artificial intelligence, philosophy of science, psychology, biomedical informatics, bioinformatcs