Jiayu Zhou

Associate Professor, School of Information

Advancing scalable, interpretable AI for health informatics and knowledge integration

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.