Dr. Sahar Yassine

Sahar Yassine graduated with a Master’s Degree in Computer Engineering from the Lebanese University in 2017. She then pursued a M.Sc. in Electrical Engineering at the University of Paris-Est Creteil in France. In 2018, she joined the Signal and Image Processing Laboratory at Rennes University, France, as an R&D engineer. Her work focused on developing methodological pipelines for analyzing brain connectivity networks using High-Density Electroencephalography (HD-EEG) in both healthy individuals and patients with neurological disorders. Sahar later completed her Ph.D. at Rennes University in 2023, with her doctoral research primarily focusing on utilizing HD-EEG to track the longitudinal progression of Parkinson’s disease patients, assess various disease phenotypes, and predict disease outcomes.

Sahar joined Prof. Tan’s group in July 2023 as a Postdoctoral Research Scientist in Neuroscience. Her current research involves analyzing human brain electrophysiological signals and employing computational modelling approaches to better understand the neural correlates of movement disorders such as Parkinson’s disease and Dystonia. This includes efforts to detect symptoms, model pathology, and enhance closed-loop adaptive neuromodulation for more effective therapeutic interventions.