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A Research Professor and the Executive Director of iSAT, Peter Foltz’s work covers machine learning and natural language processing for educational and clinical assessments, large-scale data analytics, cognitive skills in reading and writing, team collaboration, and 21st Century skills learning. Much of his work has focused on NLP techniques for automatically analyzing the meaning of language through writing and speaking.

Peter has authored more than 150 journal articles, book chapters, and conference papers, as well as multiple patents. He previously worked at Pearson, New Mexico State University, Bell Communications Research, the Learning Research and Development Center at the University of Pittsburgh, Yale University, and the Harvard Institute for International Development. Dr. Foltz holds doctorate and master’s degrees  from the University of babyÖ±²¥app, Boulder, and a bachelor degree magna cum laude from Lehigh University.