Virginia de Sa
UC San Diego
Professor (Associate, Full, Senior Lecturer or above)
Using insights from cortical architecture for neural networks; Vision and learning in humans and machines; Predicting pain from facial video; Recognizing, creating and exploiting multiple views of EEG data; Reading humans
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Virginia de Sa is a professor in Cognitive Science at UC San Diego and associate director of the Halicioglu Data Science Institute. She received a PhD in Computer Science from the University of Rochester and postdoctoral training in machine learning with Geoff Hinton at the University of Toronto and in neuroscience at UCSF. She is a recipient of a Kavli Innovative Research Award, and an NSF CAREER award. Her research goal is to better understand the neural basis of human perception and learning, both from a neural and computational point of view. She investigates what physiological recordings and the constraints and limitations of human performance tell us about how our brains perceive and learn. Her lab also uses visual illusions and brain-computer interfaces to pique student interest in science and engineering; activities include playing with visual illusions, seeing their own brain activity and competing with fellow students in brain-control games.