Assistant Professor, Director, Movement Estimation and Assessment Laboratory

• Postdoctoral Fellow, Toronto Rehabilitation Institute / University of Toronto, Canada (2019-2020)
• Postdoctoral Fellow, Harvard Medical School, USA (2017-2020)
• Ph.D. Biomedical Engineering, McGill University, Canada (2014-2017)
• M.ENg, Biomedical Engineering, McGill University, Canada (2012-2014)
• B.Eng, Engineering Physics, Technological University of Pereira, Colombia (2003-2008)

Diego L. Guarín has been an Assistant Professor in the Applied Physiology and Kinesiology Department at the University of Florida since August 2022. Before joining UF, Dr. Guarín was an assistant professor at the Florida Institute of Technology (2020-2022). Dr. Guarín completed his master’s and Doctoral degrees at McGill University and was a postdoctoral fellow at Harvard Medical school and the Toronto Rehabilitation Institute. His research focuses on understanding how movement is affected by neurodegenerative diseases and developing novel techniques to measure movement, assess disease severity, and evaluate the effectiveness of therapies. Dr. Guarín’s research lives in the intersection between neuroscience, machine learning, and signal processing. His overall research goal is to improve current clinical practices and facilitate remote, early assessment of neurological conditions that affect movement.

Dr. Guarín has published more than 20 papers in international journals, including JAMA, Journal of Speech, Language, and Hearing Research, Plastic and Reconstructive Surgery, IEEE Journal of Biomedical and Health Informatics, and IEEE Trans. on Neural Systems and Rehabilitation Engineering. His research has been supported by The National Institutes of Health (NIH), Michael J. Fox Foundation (MJFF), Vector Institute for Artificial Intelligence, Natural Sciences and Engineering Research Council of Canada (NSERC), and the Colombian Department of Science, Technology, and Innovation (COLCIENCIAS)

Research Interests

• Neural Control of Movement
• Neurological Conditions and their effect on movement
• Machine Learning and Computer Vision / Artificial Intelligence
• Signals Processing
• Translational research