Reihaneh Rabbany

Reihaneh Rabbany is an Assistant Professor at the School of Computer Science, McGill University, and a core faculty member of Mila - Quebec's artificial intelligence institute. She holds the Canada CIFAR AI Chair and is affiliated with the Center for the Study of Democratic Citizenship. Her research focuses on complex data analysis at the intersection of network science, data mining, and machine learning.

Research Interests:

• Network Science
• Data MiningGraph Representation Learning
• Unsupervised and Self-supervised Learning
• Anomaly Detection
• Social Good Applications

Publication Trends show emphasis on temporal graph analysis, community detection, misinformation identification, and interdisciplinary collaborations with political science and criminology experts.

Notable Awards

• Canada CIFAR AI Chair
• CAIAC 2021 Best Master's Thesis Award (co-supervisor)

Advising includes mentoring PhD and MSc students across multiple institutions, with graduated students transitioning to roles at Microsoft Research, Mila, Yale, and Google.

Labs & Collaborations: Leads the Complex Data Lab at McGill, collaborates with Mila, and contributes to community evaluation frameworks like CommunityEvaluation and TopLeaders algorithm.