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Brenden Lake is an Associate Professor in the Department of Computer Science and the Department of Psychology at Princeton University. He leads the lab for Human & Machine Intelligence, which explores the intersections of cognitive psychology and artificial intelligence (AI). His research focuses on understanding human cognitive abilities that are challenging to replicate in AI systems. Recent projects involve few-shot learning, generating new goals, and developing novel combinations of known components. Additionally, he investigates modern neural network modeling, meta-learning, and neuro-symbolic modeling. His work aims to reverse-engineer human solutions to uncover the cognitive ingredients missing in current AI models, thereby addressing critical challenges in both psychology and computer science.
GRE scores are not accepted. Ph.D. is the primary degree; students are not required to hold an M.S.E. prior to admission.