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Golnoosh Farnadi Mcgill

Department of Computer Science

McGill University

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About Golnoosh Farnadi Mcgill at McGill University (McGill)

Professor Golnoosh Farnadi is an Assistant Professor in the School of Computer Science at McGill University, a Canada CIFAR AI Chair, and a Core Academic Member at Mila – Quebec AI Institute. She is also a Visiting Faculty Researcher at Google and an Adjunct Professor at Université de Montréal. She is the founder and Principal Investigator of the EQUAL Lab (EQuity & EQuality Using AI and Learning algorithms) at Mila/McGill, a research lab dedicated to advancing algorithmic fairness and responsible AI. Professor Farnadi’s research focuses on developing fair, transparent, and accountable machine learning systems. Her work addresses bias, discrimination, and inequality in AI systems, combining techniques from optimization, privacy-preserving machine learning, deep learning, and generative AI. A key theme of her research is fairness-aware decision making under uncertainty, with applications in social media, recommendation systems, and automated decision systems that affect real people and communities. Prior to joining McGill, Professor Farnadi held faculty and postdoctoral positions at HEC Montréal, Université de Montréal, and MILA, and was a postdoctoral researcher at UC Santa Cruz’s LINQS group. She received her Ph.D. in Computer Science from KU Leuven and Ghent University. Her work has been widely recognized with awards from Google, Meta (Facebook), and international AI ethics communities, and she has been named among rising stars and leading women in AI ethics.

Research Areas

algorithmic fairnessresponsible AIAI ethicsprivacy-preserving machine learningbias and discriminationoptimizationdeep learninggenerative AIdecision-making under uncertainty
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