Dr. Kyuhwa Lee is NeuroAI Group Leader at the Wyss Center, and is a specialist in applied machine learning research for brain signal decoding. Having an interdisciplinary background in computer science, electrical engineering and neuroscience, Kyuhwa plays roles in designing and applying real time machine learning algorithms for analyzing and decoding brain signal patterns of patients.
His aim is to help motor impaired patients regain their motor functions using personalized real time neurostimulation technologies. Kyuhwa has experience in developing real time closed loop brain signal decoding algorithms for patients implanted with epidural and subdural electrocorticography (ECoG), Utah microelectrode arrays, deep brain stimulation (DBS) as well as non invasive electroencephalography (EEG).
Prior to joining the Wyss Center, Kyuhwa obtained his PhD degree at Imperial College London and did further research in clinical environments at the Lausanne University Hospital (CHUV) and the Swiss Federal Institute of Technology (EPFL).
For more information, visit khlee.org
Kyuhwa aims to discover informative patterns from brain signals using a data-driven approach to gain a deeper understanding of brain mechanisms and help motor-impaired patients regain their motor functions.