Reihaneh Rabbany

Assistant Professor at Carnegie Mellon University, The Robotics Institute

Montreal, Quebec, Canada
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Summary

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Senior
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Top School
Reihaneh Rabbany is an Assistant Professor at McGill University and former postdoc at Carnegie Mellon with 11 years of experience researching data mining, machine learning, network science, and graph mining. Her PhD and MSc from the University of Alberta focused on principled methods for comparing and modeling modular structure in complex networks, informing both theoretical advances and practical analyses of real-world systems. She blends rigorous academic research with hands-on mentorship and teaching, having supported programming and data-structures courses earlier in her career. Based in Montreal, she pursues “complex data” problems that bridge network theory and machine learning, often extracting interpretable structure from noisy relational data. A detail not obvious from titles: her work emphasizes quantifying modularity in networks—turning qualitative community patterns into measurable, modelable features useful for downstream ML tasks.
code11 years of coding experience
job7 years of employment as a software developer
bookMaster’s Degree, Computer Science, Master’s Degree, Computer Science at University of Alberta
bookAmirkabir University of Technology
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Github Skills (8)

matrix3
machine-learning3
java3
algebra3
react2
linear-algebra2
typescript1
nextjs1

Programming languages (4)

JavaJavaScriptHTMLJupyter Notebook

Github contributions (5)

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rabbanyk/FARZ

Apr 2015 - Nov 2017

Contributions:23 commits, 16 pushes, 2 branches in 2 years 7 months
rabbanyk/CommunityEvaluation

Feb 2015 - Mar 2016

Contributions:1 release, 38 commits, 26 pushes in 1 year
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Reihaneh Rabbany - Assistant Professor at Carnegie Mellon University, The Robotics Institute