Lyle Ungar, PhD

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 natural-language 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 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.

Read full faculty bio on Wharton website


Executive Education Programs Taught:

Customer Analytics

Gain an in-depth understanding of new forms of customer data, enhance your ability to forecast customer behavior, and acquire the skills to develop and execute effective monetization strategies.