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The last decade has seen an unprecedented explosion of data. In medicine, data are increasingly being generated and linked across electronic health records, administrative databases, and biobanked samples. These resources hold tremendous promise for improving human health and achieving precision medicine, which will only be realized by thoughtful study designs and innovative analyses.
My lab studies life course genetic epidemiology. We aim to understand how our genes, which are fixed at conception, interact with changing environments across time, and ultimately, affect traits and conditions that manifest throughout the lifecourse. Our overall goal is to improve precision health by matching the right preventative strategy or treatment, to the right person, at the right time. To achieve this, we apply computational methods to large-scale genomic and population health datasets that include longitudinal measures of health and disease, collected at different life stages. Brain related traits are a major area of focus, because change over time is a hallmark of psychiatric and neurodegenerative conditions.
I completed postdoctoral training at Vanderbilt University Medical Center in Nashville, Tennessee. I hold a PhD from the University of Toronto, where I was a fellow in the interdisciplinary CIHR-STAGE Program (Canadian Institutes of Health Research Strategic Training for Advanced Genetic Epidemiology).
A complete list of my publications is maintained here: https://scholar.google.com.au/citations?user=ZvD5qRgAAAAJ&hl=en