Scholar
Golnoosh Farnadi
Google Scholar ID: 4Vjp6hwAAAAJ
Assistant Professor at McGill University & Mila, Canada CIFAR AI Chair
FATE
Algorithmic Fairness
Responsible AI
Privacy-preserving ML
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Citations & Impact
All-time
Citations
1,251
H-index
15
i10-index
23
Publications
20
Co-authors
14
list available
Contact
Email
farnadig@mila.quebec
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Publications
20 items
Neighbor-Aware Localized Concept Erasure in Text-to-Image Diffusion Models
2026
Cited
0
Can LLMs Cook Jamaican Couscous? A Study of Cultural Novelty in Recipe Generation
2026
Cited
0
Rethinking Hallucinations: Correctness, Consistency, and Prompt Multiplicity
2026
Cited
3
Multilingual Amnesia: On the Transferability of Unlearning in Multilingual LLMs
arXiv.org · 2026
Cited
0
Understanding the role of depth in the neural tangent kernel for overparameterized neural networks
2025
Cited
0
Data as a Lever: A Neighbouring Datasets Perspective on Predictive Multiplicity
2025
Cited
0
Designing Ambiguity Sets for Distributionally Robust Optimization Using Structural Causal Optimal Transport
2025
Cited
0
Wasserstein Distributionally Robust Optimization Through the Lens of Structural Causal Models and Individual Fairness
2025
Cited
0
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Resume (English only)
Academic Achievements
Google Scholar Award and Facebook Research Award (2021)
Named one of the Rising Stars in AI Ethics (2021)
Google Inclusion Research Award (2023)
Finalist for WAI Responsible AI Leader of the Year Award (2023)
Named among the 100 Brilliant Women in AI Ethics (2023)
Background
Assistant Professor at the School of Computer Science, McGill University
Adjunct Professor at University of Montréal
Core Academic Member at MILA (Quebec Institute for Learning Algorithms)
Canada CIFAR AI Chair (CCAI Chair) holder
Co-director of McGill’s Collaborative for AI & Society (McCAIS)
Founder and Principal Investigator of the EQUAL Lab, focusing on algorithmic fairness and responsible AI
Research interests: Algorithmic Fairness, Privacy-preserving Machine Learning, Responsible AI, Optimization, Deep Learning and Generative AI
Co-authors
14 total
Martine De Cock
Professor, University of Washington Tacoma
Marie-Francine Moens
Professor of Computer Science KU Leuven
Co-author 3
Michal Kosinski
Stanford University
David Stillwell
Cambridge University
Shanu Sushmita
Northeastern University
Fabio Celli
Senior Data Scientist, R&D Maggioli.it
Guy Van den Broeck
Professor and Samueli Fellow, UCLA
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