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Lyle Ungar is a Professor in the Department of Computer and Information Science at the University of Pennsylvania. His research group specializes in natural language processing and explainable AI, with applications in psychological and medical research. They analyze the drivers of physical and mental well-being and work on building socio-emotionally sensitive AI-based tutors and coaches. Ungar's work includes exploring word use and personality dynamics associated with well-being, alongside developing spectral methods for modeling language phenomena, and innovative forecasting techniques that integrate group decision making and prediction markets. His academic contributions also extend to bibliometrics, bioinformatics, market-based methods, and optimization in auctions and mechanism design. Lyle teaches various courses including Machine Learning, Deep Learning, and Advanced Topics in AI.
Wharton Doctoral programs cover fields like Finance, Marketing, Management, and Operations, Information and Decisions.