Susan L. Epstein develops knowledge representations and machine learning algorithms to support programs that learn to be experts. Her current research interests include plausible recommendations and human-multi-robot teams for search and rescue. An interdisciplinary scholar, she has worked with and published for mathematicians, psychologists, geographers, linguists, microbiologists, and roboticists to identify important principles about knowledge and learning, and to help computers exploit them. She has published 145 peer-reviewed papers, and teaches artificial intelligence and machine learning at Hunter and The Graduate Center. Her lab includes both graduate students engaged in rigorous empirical research. She has chaired The Cognitive Science Society and has been an officer of the Special Interest Group on Artificial Intelligence (SIGAI) for the ACM.