Prof. Dr. Bruno Bonnechère obtained his doctorate in the development and use of serious games in rehabilitation. After earning his doctorate, he worked in two leading educational and research institutions in
England. He was the first postdoctoral researcher at the University of Oxford (Oxford) at the Big Data Institute where he worked on modeling risk factors for dementia and stroke with a focus on ethnic risk differences (2019). He then completed a postdoctoral fellowship at the University of Cambridge (Cambridge) where he focused on the automatic assessment of cognitive function using mobile applications and evaluating the feasibility of using these solutions in Africa (2020). He now works as an assistant professor at the Faculty of Rehabilitation Sciences at Hasselt University (Hasselt). His commitment is mainly to education and research. His teaching experience focuses on the use of new rehabilitation technologies. He is also a member of the Data Science Institute of Hasselt University. His research focuses on the development, validation, and implementation of new technologies in the field. He is particularly interested in using the data collected during rehabilitation (i.e., the rehabilomics) to build predictive models using machine learning and artificial intelligence.
Prof. Dr. Bruno Bonnechère obtained his doctorate in the development and use of serious games in rehabilitation. After earning his doctorate, he worked in two leading educational and research institutions in
England. He was the first postdoctoral researcher at the University of Oxford (Oxford) at the Big Data Institute where he worked on modeling risk factors for dementia and stroke with a focus on ethnic risk differences (2019). He then completed a postdoctoral fellowship at the University of Cambridge (Cambridge) where he focused on the automatic assessment of cognitive function using mobile applications and evaluating the feasibility of using these solutions in Africa (2020). He now works as an assistant professor at the Faculty of Rehabilitation Sciences at Hasselt University (Hasselt). His commitment is mainly to education and research. His teaching experience focuses on the use of new rehabilitation technologies. He is also a member of the Data Science Institute of Hasselt University. His research focuses on the development, validation, and implementation of new technologies in the field. He is particularly interested in using the data collected during rehabilitation (i.e., the rehabilomics) to build predictive models using machine learning and artificial intelligence.