معرفی
Elizabeth Thomas is an Associate Professor at the University of Burgundy, affiliated with the Institut Marey. She holds an HDR (Habilitation à Diriger les Recherches) in Neuroscience and a Ph.D. in Chemistry from the University of Texas, Austin, along with a Bachelor's in Chemistry (summa cum laude) from St. John’s University, New York.
Her research focuses on computational neuroscience, motor control, and embodiment of cognition. She employs machine learning techniques to analyze electrophysiological recordings in the motor cortex and investigates how motor control strategies adapt across aging and neurological conditions. Key themes include neural network dynamics, neuromuscular coordination, and the intersection of movement and cognitive processes.
Her teaching includes courses such as Introduction to Neuroscience, Neuroscience for Rehabilitation, and MATLAB programming for engineers. Over 15 years, she has published extensively on motor control mechanisms, temporal processing, and computational models of neural activity. Notable recent work includes studies on neural clustering in primate motor cortices and machine learning applications in movement analysis.
Dr. Thomas collaborates on projects related to assistive technologies and aging motor systems. Her work bridges basic neuroscience with clinical applications, aiming to improve rehabilitation strategies through computational insights.
