Golnoosh Farnadi

Golnoosh Farnadi

Assistant professor (HEC Montréal) and Adjunct professor (Université de Montréal)

HEC Montréal and Université de Montréal

I am an Assistant Professor of Machine Learning at HEC Montréal (U. Montreal’s business school), and Adjunct professor at University Montréal. I am a core faculty member at MILA (Quebec Institute for Learning Algorithms) and hold Canada CIFAR AI chair.

Prior to this, from 2018-2020, I was a a post-doctoral IVADO fellow at University of Montreal and MILA working on fairness-aware sequential decision making under uncertainty with professor Simon Lacoste-Julien and professor Michel Gendreau. From 2017-2018, I was a postdoc researcher of the Statistical Relational Learning Group (LINQS) of professor Lise Getoor at the University of California, Santa Cruz.

I obtained my Ph.D. in Computer science from KU Leuven and Ghent University in 2017 with a dissertation on user modeling in social media under the supervision of professor Martine de Cock and professor Marie-Francine Moens. During my PhD, I was a visiting scholar at UCLA, University of Washington, Tacoma, Tsinguha University, and Microsoft research, Redmond.

In 2021, I won Google Scholar Award and Facebook Research Award and was named one of the Rising Stars, a list of 20 promising new diverse talents in AI Ethics.

  • Fairness-aware AI
  • Privacy-preserving Machine Learning
  • Constrained Optimization
  • Deep Learning
  • Probabilistic Graphical Models
  • Social Network Analysis
  • PhD in Computer Science, 2017

    KU Leuven and Ghent University

  • Postdoc researcher

    Statistical Relational Learning Group (LINQS) - University of California, Santa Cruz

  • Post-doctoral IVADO Fellow

    Université de Montréal and Mila