Daisy Lin is a doctoral student at New York University, where they focus on enhancing deep reinforcement learning algorithms through human planning models and exploring individual differences in complex planning. They obtained their PhD from NYU in 2025. Currently, they serve as a Member of Technical Staff in Reinforcement Learning at Amazon's AGI SF Lab, following an internship as an Applied Scientist. Daisy is passionate about developing human-like AI agents.
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