dr. Y. Qin (Yuzhen)

Dr. Yuzhen Qin holds a tenure-track position in the Department of Machine Learning and Neural Computing. With a background in control engineering, his research lies at the intersection of control, computational neuroscience, and machine learning. He is particularly focused on developing next-generation therapeutic strategies, such as brain stimulation interventions, that offer optimized and personalized treatments for patients with neurological and psychiatric disorders. By integrating concepts from control theory, dynamical systems theory, data-driven modeling, and machine learning, his work aims to improve the precision, adaptability, and efficacy of neurotechnologies. In parallel, Dr. Qin investigates neuromorphic computing, aiming to build energy-efficient, brain-inspired systems that push the boundaries of conventional approaches in artificial intelligence and neural engineering.