Professor of Bioengineering, Professor of Computer and Information Science, the School of Engineering and Applied Science; Professor of Genomics and Computational Biology, Perelman School of Medicine; Professor of Operations, Information and Decisions, the Wharton School; Professor of Psychology, School of Arts and Sciences, the University of Pennsylvania
Statistical natural-language processing, deep learning, mining social media to better understand personality
Lyle Ungar is a professor of Computer and Information Science at the University of Pennsylvania. He received a BS from Stanford University and a PhD from MIT. Professor Ungar directed Penn’s Executive Master’s of Technology Management (EMTM) Program for a decade, and served as associate director of the Institute for Biomedical Informatics (IBI). He has published over 200 articles and holds 11 patents. His current research focuses on statistical natural-language processing, deep learning, and the use of social media to understand the psychology of individuals and communities.
Professor Ungar has consulted for companies ranging from start-ups to Fortune 500 companies on the strategic use of information technology in areas including data mining, recommender systems, chatbots, e-commerce, and artificial intelligence.
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