noth | Geraldin Nanfack


I come from Nkongsamba, a farming town in Cameroon (Africa).
I am a Postdoctoral Researcher at the Univeristy of Conocordia and at Mila under the supervision of PhD student in Machine Learning at the University of Namur under the supervision of Prof. Eugene Belilovsky. We work on robustness of interpretability methods and debiasing mechanisms of models/data.
Previously, I obtained my PhD (in Belguim) in November 2022 under the supervision of Benoît Frénay and Paul Temple. My PhD focused on the enforcement of constraints on machine learning models to make them more easily explainable and trustworthy.

  • Constraint for interpretability, explainability and trustworthiness
  • Statistical guarantees in machine learning
  • Optimisation for machine learning
  • PhD in Machine Learning, 2022

    University of Namur, Belgium

  • MSc in Data Science, 2018

    Ecole Nationale Supérieure d'Informatique et d'Analyse des Systèmes, Morocco

  • $\equiv$ BEng in Computer Engineering (2 years of Maths & Physics + 1 year of Computer Engineering), 2016

    Ecole Nationale Supérieure Polytechnique de Yaoundé, Cameroon


Quickly discover relevant content by filtering the full list of publications.
(2022). An Experimental Investigation into the Evaluation of Explainability Methods. Under review in PAKDD.


(2022). Decision trees: From efficient prediction to responsible AI. Under review in Frontiers in Artificial Intelligence, section Machine Learning and Artificial Intelligence.


(2021). Constraint Enforcement on Decision Trees: a Survey. ACM Computing Surveys.

PDF Cite Project

(2021). Learning Customised Decision Trees for Domain-knowledge Constraints. Under review in Pattern Recognition Journal.


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