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Joining the University of Michigan in the Fall of 2013, Kevyn Collins-Thompson is an associate professor in the Department of Electrical Engineering and Computer Science. He has extensive experience in academic and industry research spanning 20 years. His work integrates information retrieval, machine learning, and natural language processing to enhance the ways people access information. As the academic director of the Master of Applied Data Science program, he leads one of the largest online degree programs at the university. He has gained recognition as an ACM Distinguished Member for his outstanding contributions to computing. Collins-Thompson's research focuses on developing human-centered machine learning systems particularly aimed at improving literacy skills and creating effective educational technologies. He has been involved in various innovative projects and collaborations, contributing to advancements in the field of AI and education. He has co-founded a startup that provides adaptive AI tools for educators and has received numerous accolades, including the Michael D. Cohen Outstanding Service Award and the Coursera Outstanding Educator Award.
University of Michigan • Ann Arbor, MI
Teaching and research in machine learning, information retrieval, and natural language processing.
Department of Electrical Engineering and Computer Science