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Lyle Ungar is a Professor in the Department of Computer and Information Science at the University of Pennsylvania. His research focuses on natural language processing (NLP) and explainable artificial intelligence (AI), contributing to understanding drivers of physical and mental well-being through socio-emotionally sensitive AI. He explores the intersection of language and psychology, incorporating spectral methods and forecasting techniques in his work. Ungar's interests extend to modeling scientific communities, applied economics, and information economics. He has taught various courses, including Machine Learning, Deep Learning, and Artificial Intelligence, emphasizing the importance of explainability in AI systems. His notable contributions are found in several academic publications, and he is actively engaged with platforms like Google Scholar to disseminate his research findings.
Wharton Doctoral programs cover fields like Finance, Marketing, Management, and Operations, Information and Decisions.