Biomedical research is increasingly driven by the generation of large quantities of data. Interpreting and analyzing these data is crucial to understanding what causes various diseases and how they progress and respond to treatments. The fields of statistics, machine learning and artificial intelligence have provided particularly important tools to model and better understand biomedical data.
Dr. Kieran Campbell, Canada Research Chair in Machine Learning in Translational Biomedicine, is developing cutting-edge statistical machine learning models to support this work. The models developed by Campbell and his research team will help unlock insights from data in a variety of biomedical research settings—from how single tumour cells respond to their environments to modelling cancer progression from high-dimensional imaging data.