Associate Professor
The University of Western Ontario
London, Ontario, Canada
Dr. Dan Lizotte is Associate Professor in the Department of Computer Science and the Department of Epidemiology and Biostatistics at Western. His research aims to support health decision-making by developing and applying machine learning and statistical tools to new sources of data including electronic health records and social media to better support patients and health professionals, particularly in public health and primary health care. His methodological research combines machine learning, optimal sequential decision-making, and multiple objective optimization. Dr. Lizotte has been formally teaching AI methods to a diverse set of students for over ten years, and he teaches the Public Health Informatics course for in the Schulich Interfaculty Program in Public Health at Western. He is also a member of the Rotman Institute of Philosophy at Western, and he has a strong interest in intersectionality and other critical social theory and how they should inform the development and deployment of AI tools that support health equity. He is currently working with the Alliance for Healthier Communities to develop tools for research and decision support.
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