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Xiaogai Li is an Associate Professor at the Royal Institute of Technology (KTH) specializing in Neuronic Engineering. His research focuses on the finite element modeling and neuroimaging concerning traumatic brain injuries, with a particular interest in clinical applications for children and infants. He combines computational methods with clinical techniques to better understand the mechanisms of injury, facilitate clinical and forensic diagnosis, and develop innovative treatments and protective strategies. He has participated in several significant EU-funded projects, including FP7 PIPER and Marie Sklodowska-Curie HEADS ITN, and has secured funding from the Swedish Research Council for projects such as BioLEAP and BioSAVE, focusing on issues like shaken baby syndrome. Li also engages in side projects, such as the CRS Awareness initiative and has researched mechanical approaches to alleviate migraines. He teaches various courses related to Biomechanics and Medical Engineering at KTH.
Royal Institute of Technology • Stockholm
Involved in research and teaching in Neuronic Engineering, focusing on traumatic brain injuries and their clinical applications.
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