PhD Thesis Now Online

I’m happy to share that the pre-defense version of my PhD thesis is now publicly available on arXiv!

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.

Here’s a peek at the table of contents:

You can find the project here and read the full thesis here: arXiv.2508.07423

If you have any thoughts, questions, or feedback, feel free to reach out.