Lyle Ungar

Lyle Ungar is a Professor at the Department of Computer and Information Science at the University of Pennsylvania. He is affiliated with multiple graduate groups, including Genomics and Computational Biology in the School of Medicine, Operations, Information and Decisions in the Wharton School, and Psychology in the School of Arts and Sciences.

His research focuses on explainable machine learning, deep learning, and natural language processing for psychology and medical research, analyzing social media and sensor data to understand well-being, empathy, and stress. His work spans bioinformatics, applied economics, and group decision-making.

Recent publications examine LLM-based tutoring, cross-cultural translation, and AI in palliative care, showing trends in reinforcement learning, mobile health, and health data analytics. He has contributed to Google Scholar, PubMed, and DBLP with over 15 papers since 2023.

Scientific Awards:

• 2019 Alan I. Leshner Leadership Institute Public Engagement Fellow

His students include Vitoria Aquino Guardieiro, Yihao Li, and co-advised researchers like Shreya Havaldar with Eric Wong. He leads projects at interdisciplinary centers such as the Annenberg Public Policy Center, Center for Cognitive Neuroscience, and Institute for Translational Medicine.