Ludovic Rheault

Assistant Professor, Munk School of Global Affairs and Public Policy





Ludovic Rheault is Assistant Professor in Political Science at the University of Toronto. Prior to his appointment as faculty, he joined an interdisciplinary research team at the University of Toronto as a postdoctoral fellow in 2014. He also completed a postdoctoral fellowship at the University of California, Riverside. Prof. Rheault obtained his Ph.D. from the University of Montreal in 2013. He is an alumnus of the EITM Summer Institute of 2011 and has received an extensive training in statistical methods. He teaches primarily in the areas of Canadian government and methods. At the graduate level, Prof. Rheault teaches advanced methods in data science and computer-assisted techniques for the analysis of textual data.

His current research interests focus on applications of methods from the fields of natural language processing and machine learning to answer social science and policy-related questions. Prof. Rheault is currently leading a research program examining the dynamics of public opinion on the web, funded by the Social Sciences and Humanities Research Council of Canada. He is co-investigator for a new interdisciplinary research project aimed at understanding emotional states expressed in human language using artificial neural networks, through a partnership between the Faculty of Arts and Science and the Faculty of Applied Science and Engineering. Rheault is also a member of the Lipad team that digitized the historical debates of the Canadian House of Commons and released the resource as linked and open data (

Prof. Rheault has served as a member of program committees for major international conferences in computational linguistics and has been named organizer of the 2020 Conference of the Society for Political Methodology. His research has been published in outlets such as the Journal of Public Policy, PLoS ONE, Political Research Quarterly, Electoral Studies, and the Canadian Journal of Political Science.

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