Na Li

Na Li is a Professor of Electrical Engineering and Applied Mathematics at Harvard University's John A. Paulson School of Engineering and Applied Sciences. As an Area Chair in Electrical Engineering, Li's research spans applied mathematics, control theory, and stochastic systems. Their work also intersects with economics, computation, and artificial intelligence. Li is affiliated with multiple research areas including Science and Engineering for ClimateTech and Robotics and Control. They are recognized for contributions to control, learning, and optimization, and have been elected an IEEE Fellow. Their contact information is nali@seas.harvard.edu, and their profile page can be accessed at https://seas.harvard.edu/person/na-li.

Na Li is the Winokur Family Professor of Electrical Engineering and Applied Mathematics at Harvard University, with research interests spanning Control, Reinforcement Learning, Optimization, Physical AI, and Energy and Bio-Medical Systems. Her work focuses on advancing power systems through optimal demand response, distributed optimization, and real-time energy management. She has contributed to the development of convex relaxations for optimal power flow, reinforcement learning applications in power systems, and scalable algorithms for multiagent networked systems. Her research also explores brain-computer interfaces and energy flexibility in distribution networks, emphasizing the intersection of engineering and societal challenges.