PhD Thesis Successfully Defended

I successfully defended my PhD thesis on September 5, 2025. The thesis

Real-Time Analysis of Unstructured Data with Machine Learning on Heterogeneous Architectures

explores how modern machine learning models can be deployed efficiently in high-energy physics environments, with a focus on maximizing throughput and minimizing energy consumption. The page from the day of the defense is here.

The doctoral committee comprised the following members:

• Pierre Astier (jury president)
• Jean Christophe Prévotet (reviewer)
• David Rousseau (reviewer)
• Eluned Anne Smith (committee member)
• Nicolas Gac (committee member)
• Vladimir Vava Gligorov (supervisor)
• Bertrand Granado (supervisor)

You can access the final version of my thesis on arXiv, and all the related resources on my earlier post PhD Thesis Now Online.