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My research in recent years has focused on quantitative image analysis and artificial intelligence (AI). I co-founded and am Co-Director of the Augmented Intelligence Precision Health Laboratory (AIPHL) of the MUHC Research Institute which consists of a multi-disciplinary team of scientists and clinicians, including computer scientists and machine learning experts, working within the hospital system to develop unique non-invasive image-based signatures that form the basis of AI clinical assistant tools for precision medicine. The AIPHL lab is involved in the inception, development, and validation of clinical AI applications in partnership with other academic teams and industry. A major area of clinical translation includes oncology and聽cardiovascular disease, through precision diagnostics and therapeutics. Advanced biomedical imaging technologies and clinical imaging features, molecular genomic, proteomic, and other clinical information are used for precision health and biomarker development. Therefore, one of the major areas of interest聽and strength is to lead translation of machine learning algorithms for implementation in the clinical setting.