RESC welcomes newly elected members Dr. med. Meret Branscheidt and Prof. Sarah Ebling
ETH Zurich’s Competence Centre for Rehabilitation Engineering and Science (RESC) is pleased to welcome Meret Branscheidt and Sarah Ebling as new members.
Dr. med. Meret Branscheidt
Meret Branscheidt serves as the Medical Deputy Director at the Center of Neurology and Rehabilitation (cereneo) and holds board certification in neurology, with a focus on Neurorehabilitation. Her expertise extends to neuroscience, particularly in the neurophysiology of recovery and motor learning and control. Meret Branscheidt completed her medical studies at the University of Marburg, Germany, and pursued postgraduate training at the PM&R Department of Johns Hopkins University, Baltimore, USA, under the guidance of Prof. P. Celnik and Prof. J. Krakauer. Committed to integrating her scientific knowledge of brain recovery into clinical applications, Meret Branscheidt explores how a deeper mechanistic understanding of the brain can enhance therapeutic methods. She is an active member of the ESO working group for motor rehabilitation guidelines and the ISRRA working group for NIBS guidelines.
Prof. Sarah Ebling
Sarah Ebling is Full Professor ad personam for Language, Technology and Accessibility at the University of Zurich and Professor of Accessibility Studies at Zurich University of Applied Sciences (ZHAW). Based in the field of computational linguistics, her research focuses on language-based assistive technologies in the context of persons with disabilities. The focus is on basic and application-oriented research into the development and reception of these technologies. As such, for example, methods of natural language processing (NLP) are used, with a particular focus on artificial intelligence (AI). Sarah Ebling's research takes place in the context of hearing and visual impairments, cognitive impairments, and language disorders. She deals with sign language technologies, automatic text simplification, technologies for the audio description process and computer-aided language sample analysis.