Ruiyi is a Ph.D. candidate at Tandon School of Engineering. He is broadly interested in a bidirectional flow between natural and artificial intelligence: 1. Inspired by nature, how can we build more brainlike machines? 2. leveraging relatively simple artificial models, how can we understand underlying computations in the brain?
Currently, he is working on developing deep reinforcement learning models to understand animal behaviors.