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Huteng Dai is an assistant professor specializing in computational linguistics and cognitive science at the University of Michigan. His research focuses on how humans learn sound patterns from noisy, real-world data, building interpretable learning models that are mathematically well-defined to succeed with real-world corpora. He obtained his PhD from Rutgers University in the Department of Linguistics and holds a certificate from the Center for Cognitive Science. In addition to his primary research, Dai is affiliated with the U-M AI Lab and the Michigan Center for Applied Interdisciplinary Mathematics. His work includes membership in various groups, such as the Rutgers Computational Linguistics Lab and the UCI Language Processing Group. His research interests encompass areas like language acquisition, computational complexity, model interpretability, and psycholinguistic methods, focusing on empirical studies of child-directed speech, harmony, tone prosody, and low-resource corpora in Turkic and East Asian languages.
Department of Electrical Engineering and Computer Science