Lyle Ungar

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 Research Interests:

Statistical naturallanguage processing, deep learning, mining social media to better understand personality

About Lyle:

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 naturallanguage 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 startups to Fortune 500 companies on the strategic use of information technology in areas including data mining, recommender systems, chatbots, ecommerce, and artificial intelligence.