Dr. Wang earned her doctorate from the University of Chicago in machine learning and speech processing before transitioning to theoretical neuroscience as a postdoctoral fellow at the HU-Max Center for Sensory to Action, where she collaborated with Naftali Tishby, Idan Segev, and Alexander Borst. Additionally, she worked with Professor Stephanie Palmer prior to joining Stony Brook University. Her previous work showed how information processing during survival-critical behaviors sculpts early neural systems. She uses information theory, Bayesian inference, and representation learning methods to investigate how neural representation evolves along the sensory-to-behavior arc to enable effective future action planning based on past experiences.