Xiaogai Li

Associate Professor in Neuronic Engineering and Docent in Technology and Health, with expertise in finite element modeling and neuroimaging, research concerns traumatic brain injuries with a particular interest in children/infants, and clinical applications. The research combines computational, neuroimaging, and clinical methods and technologies to understand the mechanisms of injury, also to aid clinical/forensic diagnosis, design new treatments, and develop protective strategies. Participated in EU projects FP7 PIPER & Marie Sklodowska-Curie HEADS ITN, obtained funds from Swedish Research Council (VR) 2017-2028, Vinnova, STINT, KTH Innovation, KTH Digital Futures, Hjärnfonden. Side projects: CRS Awareness.