Yilun Kuang

Yilun Kuang is an undergraduate student in Mathematics and Computer Science at NYU and a summer research assistant at Flatiron Institute. His current research focuses on understanding the functional roles of divisive normalization using computational and statistical techniques. He is broadly interested in developing mathematical theories of biological and artificial neural networks and designing robust, distribution-shift invariant multi-modal representations for large pre-trained neural network models. Before joining CCN, he worked on natural language processing research and was an avid reader of critical media theory, modern urban sociology, comparative politics, and neurophilosophy.