معرفی
William St-Arnaud is a researcher affiliated with the Mila - Quebec Artificial Intelligence Institute and the Université de Montréal, focusing on interdisciplinary applications of AI in healthcare and optimization.
His research interests include:
- Dynamical Systems
- Learning on Graphs
- Probabilistic Models
- Reinforcement Learning
The trends in his publications highlight the integration of AI with healthcare logistics, particularly in kidney exchange programs. Key areas covered include fairness schemes, stochastic matching, column generation algorithms, and scalable solution generation.
William's work spans the following subfields:
- Fairness in AI
- Kidney Exchange Programs
- Stochastic Matching
- Conic Programming
- Graph Learning
- Reinforcement Learning
He is part of the Mila research ecosystem, which drives innovation in AI-related fields.
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