I'm Dawn Chen, a cognitive scientist interested in human and machine learning. My research has combined computational modeling and behavioral experiments to shed light on how humans learn a variety of representations, including relational concepts necessary for analogy and heuristics for efficiently solving problems in a given domain. I've also examined the ways in which representations acquired by machine learning algorithms capture and deviate from human cognition. You can find my papers, presentations, datasets, and code under Publications. I will soon start a role as a Software Engineer at Google.