- Author of the award-winning book 'Lost on Division: Party Unity in the Canadian Parliament'
- Studied voting records of all Members of the Canadian House of Commons and Senate who served between 1867-2020
- Currently researching the development of political parties and electoral behavior of Lower Canada's inhabitants from 1792 to 1841, using a combination of data science and machine learning tools
Research Experience
- Director of the Data analysis undergraduate program in social sciences and humanities at Université de Montréal
- Researcher at IVADO - The Research, Training and Knowledge Mobilization Consortium in Artificial Intelligence
- Co-director of AI4, the AI Institute for Information Integrity, focusing on developing methodologies that leverage large language models, graph mining, and unsupervised/supervised learning to analyze information integrity, agent social simulations, and for measuring polarization
Background
Professor at the Department of Political Science, Université de Montréal, and an Associate Academic Member of Mila - Quebec. Research focuses on data science, AI safety, and the impact of generative AI on political attitudes. Also interested in legislative institutions and comparative political development.
Miscellany
Recruiting new MA or PhD students with a strong background in computational social sciences, interested in AI safety and the political implications of AI, to join AI4 and become members of Mila for the 2026–2027 academic year (admission in January 2026 is also possible). Candidates should email their CV and cover letter outlining their interest and qualifications.