$^*$: equal contribution

. Lifted Hinge-Loss Markov Random Fields. AAAI Conference on Artificial Intelligence (AAAI), 2019.

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. Fairness in Relational Domains. AAAI/ACM Conference on AI, Ethics, and Society (AIES), 2018.

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. A Branch-and-Cut Algorithm for Constrained Graph Clustering. Data Science meets Optimization workshop (DSO), 2017.

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. Prediction-based optimization for online People and Parcels share a ride taxis. International Conference on Knowledge and Systems Engineering (KSE), 2017.


. Combining Stochastic Constraint Optimization and Probabilistic Programming - From Knowledge Compilation to Constraint Solving. Principles and Practice of Constraint Programming (CP), 2017.

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. Stochastic Constraint Programming with And-Or Branch-and-Bound. International Joint Conference on Artificial Intelligence (IJCAI), 2017.

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. Constraint-Based Querying for Bayesian Network Exploration. Advances in Intelligent Data Analysis (IDA), 2015.

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. Constrained Clustering Using Column Generation. Integration of AI and OR Techniques in Constraint Programming (CPAIOR), 2014.

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I was one of the teaching assistants in the following courses:


Graphical Models

Bayesian Networks, Probabilistic Logic Programming, Knowledge Compilation

Constraint Satisfaction and Optimization

Constraint Programming, Integer Linear Programming, Decision Diagrams

Machine Learning

Symbolic and Sub-symbolic Methods


  • M-3409, Pavillons Lassonde
    2900 boul. Édouard-Montpetit
    Campus of the University of Montréal
    2500, chemin de Polytechnique Montréal
    (Québec) H3T 1J4