I am jointly appointed to the Department of Computer Science in the Faculty of Science, and to the Department of Epidemiology and Biostatistics in the Schulich School of Medicine & Dentistry. I am also appointed to the Schulich Interfaculty Program in Public Health and cross-appointed to the Department of Statistics and Actuarial Sciences.

My main research areas are machine learning, biostatistics, and health. In particular, I am interested in machine learning and statistical methodology for supporting health decisions, primarily in public health and primary health care. Many health decisions are made sequentially – for example, health decisions for managing chronic disease are made over time as the disease progresses and as we gain more information about a patient’s health status and about their response to previous decisions. We also gain more information about the evolution of patient preferences as well, which should inform decision-making. Some of my core research work has been in adapting reinforcement learning methodology to be able to support these kinds of decisions that include evolving information and preferences.