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Roman Bresson is a postdoctoral researcher at KTH Royal Institute of Technology. His research focuses on graph generating models, particularly multimodal representations of text-graph data, and aims to bridge the gap between large language models and graph neural networks with a primary emphasis on biomedical applications. He obtained his PhD in Artificial Intelligence from University Paris-Saclay in 2022, where he concentrated on interpretable formally-constrained neural network architectures. He also holds a degree in Software Engineering from ENSIMAG and a research-oriented Master of Science in Industrial and Applied Mathematics from Université Grenoble-Alpes, completed in 2018.
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