Keyue Ding

Dr. Keyue Ding is an Associate Professor in the Department of Public Health Sciences at Queen's University, with a joint appointment at the Canadian Cancer Trials Group (CCTG). He is also a Senior Biostatistician at CCTG, focusing on the design and analysis of cancer clinical trials. His research emphasizes statistical methodologies in clinical trials, biomarker analysis, and high-throughput data interpretation.

Education:

• PhD in Statistics (1999) — University of Alberta
• MSc in Statistics (1990) — University of Science and Technology of China
• BSc in Mathematics (1987) — Anhui Normal University

Research Interests: Dr. Ding specializes in statistical approaches for clinical trial design, predictive modeling, and biomarker discovery. His work bridges biostatistical theory with practical applications in oncology, particularly in prostate, lung, and brain cancers. He has contributed to developing survival prediction models and evaluating treatment efficacy.

Publications: His research spans high-impact journals, focusing on areas like radiation therapy outcomes, biomarker-driven therapies, and benefit-risk assessment. Key themes include optimizing treatment strategies for metastatic cancers and understanding hormonal therapy resistance.

Labs/Teams: As part of the CCTG, he collaborates with multidisciplinary teams to advance cancer clinical trials. His work is integral to the Queen's Cancer Research Institute, where he explores translational statistical methods.