Virginia de Sa

Our lab's research goal is to better understand the neural basis of human perception and learning, both from a neural and computational point of view. We investigate the computational properties of machine learning algorithms and what physiological recordings and the constraints and limitations of human performance tell us about how our brains learn. These and related findings are used to develop and improve machine learning algorithms as well as to develop EEG-based brain-computer interfaces. Our lab also uses technology from brain-computer interfaces to pique student interest in science and engineering; activities include seeing their own brain activity and competing with fellow students in brain-control games.

Dr. Virginia de Sa is a professor in the Department of Cognitive Science at UC San Diego and associate director of the Halicioglu Data Science Institute. She is also a member of the executive committee of the Institute for Neural Computation (INC), faculty participant in the Neurosciences graduate program (NGP), and an affiliate of the Department of Computer Science and Engineering.