Dr. Jiguo Cao’s research concentrates on two main areas: statistical inference for
dynamical models, and functional data analysis. During his Canada Research Chair
term, Cao will devote his efforts to developing novel statistical methodologies, using
both dynamical models and functional data analysis, for an array of data-driven
applications. Examples include modeling big data, such as fitness data
from wearable devices; studying effects of air pollution on public health;
understanding global warming’s impacts on forest fires; building large networks;
analyzing brain images; and identifying genes related to Alzheimer’s disease and other complex phenotypes in biomedicine.