Fei Chiang

Dr. Fei Chiang is an Associate Professor in the Department of Computing and Software at McMaster University's Faculty of Engineering. Her research focuses on data management, with emphasis on data quality, data privacy, information extraction, and contextual data cleaning. She has collaborated with IBM Global Services and Microsoft Research on improving data quality in enterprise systems.

• Key research themes include graph databases, temporal data analysis, and privacy-aware data processing
• Recent publications explore federated learning, SQL understanding in LLMs, and temporal graph constraints

Industry collaborations with IBM Toronto Lab and Microsoft Research have led to innovations in data cleaning automation and semantic analysis. Her work bridges database theory with machine learning applications in healthcare inventory optimization and flight reliability prediction.