My main research activities address the fundamental challenges of machine learning when applied to real-world applications. My research theme is to develop generalizable, scalable, interpretable, and privacy-preserving approaches that can effectively mine insights from big data and validate and incorporate such insights in application domains, especially health informatics. My long-term research vision is to achieve Unified Knowledge Integration: enhancing health informatics using artificial intelligence to consolidate domain knowledge and the insights derived from large-scale, multimodal, and heterogeneous datasets and curated knowledge in foundation models.
COntact
WebsiteLocation
Ann Arbor
Methodologies
Artificial Intelligence / Data Mining / Machine Learning / Security and Privacy
Applications