Biography

Igor is an AI post-doctoral researcher at the GVCdtLab, where he is developing AI-based solutions for shock-resilient trade policies. He closely works with Professor Thierry Warin (HEC, CIRANO) on the research project entitled « Economic impacts of hydrological changes on maritime traffic and international trade in the St Lawrence Basin: a digital twin approach » which received a grant of the Fonds de Recherche du Québec. Igor graduated with a Ph.D. in Mathematics from Polytechnique Montreal (fall 2024), where he specialized in deep generative modeling (GenAI) and multi-agent reinforcement learning for decision-making and policy applications. During his thesis, he focused on the specifics of algorithmic (tacit) coordination among artificial agents in market settings.

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CIRANO Publications by Igor Sadoune

As an author

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CS

Implementing a Hierarchical Deep Learning Approach for Simulating multilevel Auction Data

Igor Sadoune, Marcelin Joanis and Andrea Lodi

Methodology, Data Sciences and Simulation