Matthew Goodwin, Ph.D
Associate Professor & Associate Chair
Department of Health Sciences, Faculty, Khoury College of Computer Sciences
Office: 312E RB
Email: [email protected]
Postdoc, Massachusetts Institute of Technology, Media Lab
Ph.D., Behavioral Science, University of Rhode Island, Dept. of Psychology
M.A., Experimental Psychology, University of Rhode Island, Dept. of Psychology
B.A., Psychology, Wheaton College, Dept. of Psychology
Certificate, Psychology and Philosophy, St. Clare’s College, Oxford, England
Personal health informatics, computational behavioral assessment, ambulatory psychophysiology, machine learning
Dr. Matthew S. Goodwin is jointly appointed in the Bouvé College of Health Sciences and the Khoury College of Computer Science, where he is a founding member of the Personal Health Informatics doctoral program and Directs the Computational Behavioral Science Laboratory.
Goodwin has held appointments at Harvard Medical School as a Visiting Associate Professor in the Department of Biomedical Informatics (2018-2020), Brown University as an Adjunct Associate Professor of Psychiatry and Human Behavior (2008-2018), and the MIT Media Lab as Director of Clinical Research (2008-2011). He has also served on the Executive Board of the International Society for Autism Research (2005-2008) and the Scientific Advisory Board for Autism Speaks (2014-2017).
He has over 25 years of research and clinical experience working with children and adults on the autism spectrum and developing and evaluating innovative technologies for behavioral assessment and intervention, including video and audio capture, telemetric physiological monitors, accelerometry sensors, and digital video/facial recognition systems.
Goodwin has received several honors, including a dissertation award from the Society of Multivariate Experimental Psychology, Peter Merenda Prize in Statistics and Research Methodology, Hariri Award for Transformative Computational Science, a career contribution award from the Princeton Autism Lecture Series, and named an Aspen Ideas Scholar by the Aspen Institute and Matilda White Riley Early-Stage Investigator by the National Institutes of Health. He has obtained research funding from a variety of sources, including the National Institutes of Health, National Science Foundation, National Endowment for the Arts, Defense Advanced Research Project Agency, Department of Defense, Simons Foundation, Nancy Lurie Marks Family Foundation, and Autism Speaks.
Interdisciplinary Associate Professor (with tenure), Dept. of Health Sciences and College of Computer and Information Science
Associate Department Chair, Dept. of Health Sciences
Co-Founder, Personal Health Informatics Doctoral Program
Director, Computational Behavioral Science Laboratory
2020 – Research Development Lead, Roux Institute
2017 – Interdisciplinary Associate Professor (with tenure), Dept. of Health Sciences, Bouvé College of Health Sciences & Khoury College of Computer Science
2018 – 2020 Associate Chair, Dept. of Health Sciences, Bouvé College of Health Sciences
2018 – 2020 Visiting Associate Professor, Dept. of Biomedical Informatics, Harvard Medical School
2011 – 2017 Visiting Assistant Professor, Media Lab, Massachusetts Institute of Technology
2008 – 2011 Director of Clinical Research, Media Lab, Massachusetts Institute of Technology
2008 – 2018 Adjunct Assistant Professor, Dept. of Psychiatry & Human Behavior, Brown University
Matilda White Riley Early-Stage Investigator, National Institutes of Health
Aspen Institute Health Scholar
Career Contribution Award, Princeton Autism Lecture Series
Hariri Award for Transformative Computational Science
Best Paper Award, 11th International Conference on Ubiquitous Computing (Ubicomp)
NIH Loan Repayment Program Ambassador
Three Dot Dash Mentor
Theoretical Foundations in Personal Health Informatics
Evaluating Scientific Evidence
Principles of Epidemiology
Goodwin, MS, Mazefsky, CA, Ioannidis, S, Erdogmus, D, Siegel, M (2019). Predicting aggression to others in youth with autism using a wearable biosensor. Autism Research, 12, 1286-1296*
Use of machine learning to improve autism screening and diagnostic instruments: Effectiveness, efficiency, and multi-instrument fusion Journal of Child Psychology and Psychiatry, January 1, 2016 Bone, D, Bishop, S, Black, M, Goodwin, MS, Lord, C, & Narayanan, S
Applying machine learning to facilitate autism diagnostics: Pitfalls and promises Journal of Autism and Developmental Disorders, January 1, 2015 Bone, D, Goodwin, MS, Black, M, Lee, C, Audhkhasi, K, & Narayanan, S
Automated detection of stereotypical motor movements Journal of Autism and Developmental Disorders, January 1, 2011 Goodwin, MS, Intille, SS, Albinali, & Velicer, WF
Enhancing and accelerating the pace of autism research and treatment: The promise of developing innovative technology Focus on Autism and Other Developmental Disabilities, January 1, 2008 Goodwin, MS
“Predicting Situational Onset of Aggression in Minimally Verbal Youth with Autism Using Biosensor Data & Machine Learning Algorithms.” Department of Defense, Autism Research Program, Idea Development Award. Goodwin PI. Sep 2018 – Aug 2021.
“Developing Novel Analytics for Ambulatory Electrodermal Activity Data.” Simons Foundation for Autism Research Initiative. Goodwin PI. Dec 2017 – Nov 2018.
“Development and Evaluation of a Simulated Prototype to Dynamically Adjust Ambient Environments to Promote Affective Regulation in Individuals with Autism Spectrum Disorder.” ACL National Institute on Disability, Independent Living, and Rehabilitation Research, SBIR Phase I. Goodwin Subcontract PI, Spacefactory PI. Jul 2017- Dec 2017.
“Developing and Implementing a Framework for Evidence-Based Practice for Technology Relevant for Autism.” FIRAH, Foundation Orange, UEFA Foundation for children. Grynszpan PI, Université Pierre et Marie Curie, M. Brosnan PI, University of Bath, Goodwin Co-PI, Northeastern University, Fletcher-Watson Co-PI, University of Edinburgh, Hererra Co-PI, University of Valencia. May 2017 – Apr 2019.
“Attentional, temperamental, and physiological process underlying anxiety in preschoolers with ASD.” NICHD (1RO1MH111652-01). Chawarska PI, Yale University. Mar 2017 – Jan 2022.
“UCLA Center for Translational Research in Neurodevelopment: UC-TRaN.” NICHD (1 U54 HD087101-01). Bookheimer PI, University of California Los Angeles. Nov 2015 – May 2020.
“Biomarkers of Emotion Regulation, Social Response & Social Attention in ASD.” Clinical Research Associates/Simons Foundation for Autism Research Initiative. Sheinkopf PI, Brown University. Sep 2015 – Sep 2018.
“Clinical and Behavioral Phenotyping of Autism and Related Disorders.” NIMH (1ZIAMH002868-09). Swedo PI, National Institute of Mental Health. Sep 2015 – Aug 2020.
“Change-Sensitive Measurement of Emotion Dysregulation in ASD.” NICHD (R01-HD079512). Mazefsky PI, University of Pittsburgh. Sep 2014 – May 2019.
“The Autism Inpatient Collection: Developing a Unique, Severely Affected Cohort to Accelerate Discovery and Targeted Treatment of Autism Subtypes.” Simons Foundation and Nancy Lurie Marks Family Foundation. Siegel PI, Maine Medical Center. Oct 2013 – Sep 2018.