Lyle H. Ungar

Affiliations & Roles

• Professor of Computer and Information Science at University of Pennsylvania
• Faculty in Graduate Groups:
  • Bioengineering (School of Engineering)
  • Genomics & Computational Biology (School of Medicine)
  • Operations, Information & Decisions (Wharton School)
  • Psychology (School of Arts & Sciences)
• Research Affiliations:
  • Annenberg Public Policy Center (Distinguished Fellow)
  • Center for Cognitive Neuroscience
  • Institute for Translational Medicine

Research Interests

Focuses on explainable AI, natural language processing (NLP), and machine learning applications in psychology and medicine. Key areas include:

• Language analysis for well-being and mental health
• Spectral methods for NLP (e.g., Eigenwords)
• Forecasting and decision-making models
• Bioinformatics and genomics

Teaching

Teaches advanced courses in Machine Learning, Deep Learning, and AI ethics, including:

• CIS 5200: Machine Learning
• CIS 5220: Deep Learning
• CIS 6200: Advanced Topics in Deep Learning

Key Collaborations

Works with interdisciplinary teams on projects like the Good Judgment Project (forecasting) and WWBP (Well-Being and Language). Collaborators include Martin Seligman (positive psychology), Dean Foster (statistics), and Michael Collins (NLP).