Generative AI and the Future of Research Speaker Series: Harlin Lee

Harlin Lee is an Assistant Professor at the School of Data Science and Society, University of North Carolina at Chapel Hill. She received degrees in electrical engineering and computer science from MIT, and more in machine learning and electrical and computer engineering from CMU. She completed postdoctoral studies in applied math at UCLA. Her research interests include graphs, manifolds, optimal transport, nonconvex optimization, statistical signal processing, machine learning, and applications in healthcare.

Abstract:
In this talk, I will present several ongoing projects that leverage generative models across different aspects of healthcare. The first focuses on the analysis of electrophysiological signals—such as EEG, EOG, and respiratory data—in the context of pediatric sleep. The second explores the application of generative models to DNA sequences for identifying genetic risk factors associated with psychiatric disorders. Lastly, I will introduce new initiatives involving large language models (LLMs) aimed at supporting and accelerating clinical research at UNC.

About the speaker series:
The CIRSS Speaker Series continues in Spring with a new theme of “Generative AI and the Future of Research.” Our speakers will share their research on the opportunities and risks associated with the rapidly evolving landscape of generative AI usage in scholarship.

We meet most Wednesdays, 9am-10am Central time, in Zoom. Everyone is welcome to attend. More information, including upcoming speaker schedule and links to recordings, is available on the series website. For weekly updates on upcoming talks, subscribe to our CIRSS Seminars mailing list. Our Spring series is led by Yuanxi Fu and Timothy McPhillips, and supported by the Center for Informatics Research in Science and Scholarship (CIRSS) and the School of Information Sciences at the University of Illinois at Urbana-Champaign.