Mahdi Baratalipour is a Research Associate and Lecturer at the University of Toronto Scarborough and a former Associate Professor of Political Science at Kharazmi University. His work sits at the intersection of computational political analysis, multiculturalism, public law, and social justice, with a sustained focus on how concepts of citizenship, recognition, and inclusion evolve across legal and political discourse.

Methodologically, his research integrates NLP-based semantic analysis, hierarchical clustering, concept tracking over time, and human-in-the-loop annotation pipelines to produce transparent, interpretable, and reviewable evidence for high-stakes policy and legal analysis. A core strand of his recent work uses time-series conceptual mapping to trace shifts in multicultural and inclusionary narratives in Canadian legislation, courts, and political speech, while comparative projects extend these methods across different legal and political systems.

His teaching reflects this integration of theory and computation. He has recently taught Multiculturalism in Comparative Perspective, Advanced Topics in Public Law, and Politics, Narrative, and Data-Driven Analysis in the Performing & Literary Arts, embedding computational text analysis into substantive political inquiry. His earlier teaching and research also center on socio-political movements and social justice, linking empirical evidence to questions of power, inequality, and civic participation.