Carlos Velázquez-Vargas

Carlos received his bachelor’s degree in Psychology from the National Autonomous University of Mexico and his PhD in Psychology from Princeton University, where he was supervised by Jordan Taylor and Nathaniel Daw. His doctoral research examined how humans acquire complex motor skills that require sequential decision-making—such as playing musical instruments, video games, or dancing—by combining computational modeling with behavioral experiments.

His current work focuses on understanding how reward and punishment shape motor learning and control. To this end, he develops computational models that integrate sensorimotor Bayesian inference with reinforcement learning. His long-term goal is to uncover the algorithms that enable humans to efficiently learn, store, and flexibly adapt motor skills.