Zihang Lu

Dr. Zihang Lu is an Assistant Professor in the Department of Public Health Sciences at Queen’s University, affiliated with the School of Medicine and Faculty of Health Sciences. He holds a PhD and MSc in Biostatistics from the University of Toronto (2020 and 2013) and a BSc in Biostatistics from Southern Medical University (2012). His research focuses on developing novel statistical and machine learning methods for complex data analysis, with applications in clinical and epidemiological studies, particularly in asthma, obesity, sleep, pain, and cancer research. He collaborates with clinicians to address statistical challenges in longitudinal and functional data analysis, Bayesian modeling, and integrative clustering.

Education:

• PhD in Biostatistics, University of Toronto (2020)
• MSc in Biostatistics, University of Toronto (2013)
• BSc in Biostatistics, Southern Medical University (2012)

Research Interests:

• Bayesian data analysis and variable selection
• Longitudinal and functional data clustering
• High-dimensional data integration
• Statistical methods for disease subtyping
• Design and analysis of observational studies

Advising & Grants:

• Current advisees: Caroline Lee (MSc 2022), Veronique Rowley (2021), Zhiwen Tan (PhD 2022), Mojtaba Ahmadiankalati (MSc 2021)
• Recruiting CANSSI Distinguished Post-Doctoral Fellow for Bayesian methods in longitudinal health data analysis
• Accepting MSc/PhD students for 2023

Labs & Teams:

His team focuses on statistical methodology development and clinical collaborations, with active projects in pediatric lung function (e.g., the CHILD Cohort Study) and chronic disease management.