Lyle Ungar, PhD

Dr. Lyle Ungar is a Professor of Computer and Information Science at the University of Pennsylvania, where he also holds appointments in multiple departments in the Schools of Business, Medicine, Arts and Sciences, and Engineering and Applied Science. He has published over 400 articles, supervised two dozen PhD students, and is co-inventor on 10 patents. His current research focuses on developing scalable machine learning methods for data mining and text mining, including deep learning methods for natural language processing, explainable AI and observational causality techniques for analyzing medical records, and multi-modal analysis of cell phone and social media to better understand the drivers of physical and mental well-being.