Dr. Lyle Ungar is a Computer and Information Science professor at the University of Pennsylvania, where he also holds appointments across various departments, including the Schools of Business, Medicine, Arts and Sciences, and Engineering and Applied Science. Lyle earned his B.S. from Stanford University and a Ph.D. from MIT, establishing a strong foundation for his extensive research career. He has published over 400 articles and holds ten patents, reflecting some of his contributions to the fields of machine learning and natural language processing.
Lyle's research is at the forefront of using artificial intelligence to analyze human language, aiming to understand emotions, predict behavior, and drive innovations in business and healthcare. His work in statistical natural language processing and deep learning focuses on analysing social media and mobile data to gain insights into the psychological and physical well-being of individuals and communities. This interdisciplinary approach, combining computer science with psychology and neuroscience, positions Lyle as a leading figure in computational psychology.
Throughout his career, Lyle has faced the challenge of bridging the gap between complex machine-learning methodologies and their practical applications in real-world scenarios. His ability to translate intricate data into actionable insights has made him a sought-after consultant for various companies, from start-ups to Fortune 500 firms, advising on strategic information technology use.
In addition to his research, Lyle has played a pivotal role in education, directing Penn's Executive Masters of Technology Management Programme for a decade and serving as Associate Director of the Penn Center for Bioinformatics. His dedication to advancing machine learning and its applications is further reflected in his involvement with numerous research centers and associations, including the Annenberg Public Policy Center and the Center for Cognitive Neuroscience. Lyle's expertise and innovative approach make him an invaluable resource for understanding and leveraging AI in today's rapidly evolving technological landscape.
Lyle Ungar explores how AI and machine learning are reshaping our understanding of human psychology and decision-making. By analysing language in digital communication, AI can predict personality traits, well-being, and even health risks. This session examines the potential of AI to drive business and healthcare innovation while addressing ethical challenges in data use. Audiences gain valuable insights into the future of AI-driven analysis and its impact on industries, policy, and daily life.
