Author of the multi-task learning open-source software MALSAR; developed information fusion approaches and federated learning algorithms in health informatics; conducted in-depth research on early diagnosis of Alzheimer's disease and explored the application of large language models.
Research Experience
Previously a professor of computer science at Michigan State University. Currently leading the ILLIDAN Lab, focusing on machine learning and AI+X research.
Education
Received Ph.D. in Computer Science from Arizona State University in 2014.
Background
Tenured associate professor at the School of Information, University of Michigan. Broad research interests in large-scale machine learning, generative AI, AI+Health, and AI+X (integrating AI with application domains to enhance, innovate, or transform the domain).
Miscellany
Provides links to Google Scholar, GitHub, LinkedIn, etc.; ILLIDAN Lab is always looking for motivated Ph.D. students and post-doctoral researchers.