Federico Parisi obtains his B.Sc. and M.Sc. degrees in computer engineering from the University of Parma, Italy, in 2010 and 2013, respectively. During his Ph.D., his research activity focuses on wearable sensors-based motion analysis for clinical applications, with emphasis on Parkinson’s disease and post-stroke patients.
He joins Dr. Bonato’s Motion Analysis Laboratory Team and the Wyss Institute for Biologically Inspired Engineering as a post-doctoral Research Fellow after obtaining his Ph.D. in Information Technologies from the University of Parma in 2017. Currently, his research interests focus primarily on the use of wearable technologies and both traditional and deep-learning based artificial intelligence techniques for enabling more objective and patient-centered healthcare practices, in the clinics as well as in the patients’ home and community environments.
Areas of application of his work include the analysis of wearable sensors data collected from patients with Parkinson’s disease to model the time-course of fluctuations in motor and non-motor symptoms severity and the use of wearables to track the progression of symptoms in individuals with cardiopulmonary diseases (e.g. chronic obstructive pulmonary disease).