Lang Wu

Lang Wu is a Professor in the Department of Statistics at the University of British Columbia (UBC), part of the Faculty of Science. His research focuses on biostatistical methods for analyzing complex health science datasets, particularly longitudinal data with missing values, censored observations, and measurement errors. He has expertise in constrained statistical inference, joint modeling of longitudinal and survival data, and applications in HIV/AIDS and cancer studies.

Education: B.Sc. in Mathematics from East China Normal University (China), M.Sc. in Mathematics from Tulane University (USA), Ph.D. in Statistics from the University of Washington (USA), followed by a postdoctoral fellowship at Harvard University's Biostatistics department.

Research Interests include:

• Longitudinal data analysis
• Mixed effects models
• Joint models linking survival and longitudinal outcomes
• Missing data imputation techniques
• Constrained hypothesis testing
• Biostatistical applications in infectious diseases

Current advisees include Sihaoyu Gao and Qian Ye. Contact information includes lang@stat.ubc.ca (primary) and langwuubc@outlook.com (alternative).

No scientific awards are listed, though his extensive publication record indicates impactful contributions to statistical methodology in health sciences.