Engineering these principles into AI systems to test our understanding of brain function and develop the next generation of less artificial and more intelligent algorithms.
Research Experience
Works in the Department of Ophthalmology at Stanford University, combining systems and computational neuroscience with machine learning approaches.
Background
Research interests lie at the intersection of neuroscience and AI, focusing on network-level principles of intelligence behind perceptual inference and decision making.