Leveraging Graph Neural Network for Predicting Emerging Technologies: Use Case with Quantum Computing
The description for this session will be published as soon as it is available.
About the speaker
Paul Bagourd
Graduate Intern
at
Cyber Defense Campus (Armasuisse S&T)
Paul Bagourd is an EPFL-trained applied mathematician with a background in Artificial Intelligence and Quantum technologies.
At CYD Campus that he joined in May 2025, he develops Graph Neural Networks methods to map and forecast the evolution of emergent technologies such as quantum technologies.
More generally, he enjoys exploring the forefront of scientific advancements to contribute meaningfully to our evolving world!
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