Matthew Goodwin

Assistant Professor: Interdisciplinary with Bouve College of Health Sciences

Current Research Projects

  • Co-PI and associate director of the first large-scale collaborative effort by computer and behavioral scientists (with Georgia Tech, CMU, MIT, BU, UIUC, USC) addressing early diagnosis and interventions for individuals on the autism spectrum, supported by a National Science Foundation Expeditions in Computing Award (2011-2015).
  • Subcontract PI on a Boston-based Autism Center of Excellence (with BU and Harvard Medical School) exploring basic mechanisms and innovative interventions in minimally verbal children with autism, funded by a National Institutes of Health P50 Award (2013-2016).
  • PI of a large Simons Foundation Award (with Georgia Tech) to develop, deploy, and evaluate a multimodal data capture system to record and analyze behavior and physiology in individuals on the autism spectrum in home settings over time (2013-2015).
  • Subcontract PI on an NIH RO1 (with UCSD) to develop and evaluate computer vision and wearable autonomic sensing technologies to automatically estimate pain severity in children (2013-2017).

Research Interests

  • Personal Health Informatics
  • Ambulatory Psychophysiology
  • Digital Signal Processing
  • Machine Learning
  • Modeling Interpersonal Time Series Data


  • BS in Experimental Psychology | Wheaton College
  • MS in Behavioral Science | University of Rhode Island
  • PhD | University of Rhode Island

Google Scholar Page


Matthew S. Goodwin is a founding and key faculty member of a new doctoral program in Personal Health Informatics (PHI) and Director of the Computational Behavioral Science Laboratory (CBSL) at Northeastern University. He is also a visiting assistant professor and the former director of Clinical Research at the MIT Media Lab (2008-2011), and holds adjunct associate research scientist appointments in the departments of Education and Psychiatry & Human Behavior at Brown University.

Professor Goodwin has 20 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 naturalistic video and audio capture, telemetric physiological monitors, wireless accelerometry sensors, and digital video/facial recognition systems.

Professor Goodwin has received numerous honors, including being named an Aspen Institute Health Scholar (2015), Princeton Lecture Series Fellowship for career contribution to autism research (2015), Hariri Award for Transformative Computational Science (2014), Best Paper Award at the 11th International Conference on Ubiquitous Computing (2009), Peter Merenda Award in Statistics and Research Methodology from the University of Rhode Island (2008), and a Dissertation Award from the Society of Multivariate Experimental Psychology (2007).


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