Jiguo Cao

Canada Research Chair in Data Science

Tier 2 - 2015-04-01
Renewed: 2020-09-01
Simon Fraser University
Natural Sciences and Engineering Research Council


Research involves

Developing novel statistical methods for identifying genes related to diseases, drugs and treatments.

Research relevance

This research will improve doctors’ ability to provide more personalized care based on a patient’s unique traits, environment, diet and genes.

Research summary

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.