Min Chi is Professor of Computer Science at North Carolina State University. She joined the department in August 2013 as a Chancellor’s Faculty Excellence Program cluster hire in the Digital Transformation of Education. Dr. Chi received her M.S. and Ph.D. degrees in the Intelligent Systems Program at the University of Pittsburgh in 2006 and 2009, respectively. She was a Postdoctoral Fellow in the Machine Learning Department at Carnegie Mellon University and at the Human Sciences and Technologies Advanced Research Institute at Stanford University. Her multidisciplinary background supports her research goals of creating educational technologies that increase human learning and understanding human learning. Her specialty is applied machine learning and data mining, and her research lies at the intersection of educational data mining and human-computer interaction.

Dr. Chi research primarily focuses on applying machine learning and data mining methods to improve human learning and on exploring new machine learning and data mining challenges posed by human learning. She received the Best Paper Award at the Intelligent Tutoring Systems Conference in 2010, and received Best Student Paper Awards at the User Modeling, Adaptation and Personalization Conference in 2010 and the Intelligent Tutoring Systems Conference in 2008. She also received Best Poster Award at the Educational Data Mining conference in 2008.