I am excited to help transform the future of health care through personal health informatics and human-in-the-loop AI
– Matthew S. Goodwin, Faculty Leadership Committee Member, EAI
Matthew S. Goodwin is a tenured associate professor in the Bouvé College of Health Sciences and the Khoury College of Computer Science.
He is a founding member of a new doctoral program in Personal Health Informatics and director of the Computational Behavioral Science Laboratory.
Goodwin has over 25 years of research and clinical experience working with children and adults on the autism spectrum. His work included helping to develop and evaluate new video and audio techniques using sensors and facial recognition for monitoring behavioral assessment and intervention.
Prior to joining Northeastern University, Goodwin was a visiting associate professor in the Department of Biomedical Informatics at Harvard Medical School, an adjunct associate professor of Psychiatry and Human Behavior at Brown University, and the director of clinical research at the MIT Media Lab. He also completed terms on the executive board of the International Society for Autism Research and a scientific advisory board for Autism Speaks.
Goodwin earned awards from the Society of Multivariate Experimental Psychology, the Peter Merenda Prize in Statistics and Research Methodology, the Hariri Award for Transformative Computational Science, and the Princeton Autism Lecture Series. He was named Aspen Ideas Scholar by the Aspen Institute and Matilda White Riley Early-Stage Investigator by the National Institutes of Health. Several prominent institutions such as the National Institutes of Health, the Department of Defense, and Autism Speaks have funded his research.
His bachelor’s degrees are both in psychology, from St. Clare’s in Oxford and Wheaton College. He then went on to obtain a Masters of Arts and a Doctor of Philosophy in experimental psychology and behavioral science from the University of Rhode Island before completing a postdoctoral fellowship in Affective Computing in the MIT Media Lab.