International Francqui Professorship 2026 - Closing Lecture

Ian McKeague is Professor Emeritus of Biostatistics at Columbia University in the City of New York, and Distinguished Visiting Professor at the City University of Hong Kong.  He has served as a Co-Editor of the Journal of the American Statistical Association, and is a fellow of the Institute of Mathematical Statistics and of the American Statistical Association. He will deliver a Medallion Lecture at the Institute of Mathematical Statistics annual meeting in 2026.  His research focuses on inference for stochastic processes, post-selection inference, and functional data analysis, with diverse applications in biomedical settings. In particular, he has developed inferential methods for selecting high-dimensional predictors and causal mediators of survival outcomes, for the analysis of growth trajectories, and for the analysis of wearable device data. His work has also included studies of competing risks models for HIV/AIDS data, Bayesian/Markov chain Monte Carlo methods with applications in ocean circulation inverse problems and signature verification, and statistical problems inspired by relativity and quantum physics.