My research focusses on the development and implementation of clinically relevant biomarkers patients with interstitial lung disease (ILD), including idiopathic pulmonary fibrosis, autoimmune-associated ILD and hypersensitivity pneumonitis. By applying machine learning algorithms to large-scale “-omic” data, my lab identifies multi-dimensional biomarkers predictive of outcome and treatment response, with the long-term goal of using these biomarkers to guide clinical decision making.