Role: Adjunct Assistant Professor
Affiliation: Queen’s University, Kingston
Data to Share: prostate cancer images (H&E, IHC)
Area of Research: Developing quantitative approaches for biomarker characterization for genitourinary and other cancers. Highly experienced in digital pathology using machine learning to discover new patterns in cancer phenotypes that might lead to a better prediction of disease outcomes and/or response to treatment. Interested to develop novel ways of measuring tissue-based biomarkers using artificial intelligence to better stratify the patients for disease management in personalized medicine.