Curriculum Vitae

Highlights

PhD in astrophysics — thesis on the physics of relativistic jets in active galaxies, combining magnetohydrodynamic simulations with multi-wavelength observations.
Built RIPTIDE, a Python pipeline for radiative-transfer post-processing of simulation outputs; used throughout the thesis to produce synthetic emission predictions for comparison with telescope data.
Ran large-scale simulation campaigns on national supercomputing facilities in France, Spain, and the US, with CPU allocations awarded through competitive scientific calls.
Background in scientific computing and physical modelling; currently working in data science and engineering.

Supercomputing & allocations

Ran large‑scale simulations at CINES (FR), Fermilab (US), and RES/Barcelona (ES).
Awarded millions of CPU‑hours via peer‑reviewed calls; delivered within quota and timeline.
Efficient with batch schedulers (SLURM), job arrays, and parallel workflows.

Open‑source & engineering

Maintainer for a public community release (AM3 documentation).
Author of RIPTIDE: vectorised Python pipeline for radiative-transfer post-processing of MHD simulation outputs, with parallel processing and high-throughput I/O.
Reproducible pipelines: clear configs, versioned data outputs, and CI‑ready scripts.

Modelling & analysis

Fit models to data using least‑squares optimisation; ran parallel fits across parameter ranges.
Quantified uncertainty and validated results against independent data; communicated limits and assumptions clearly.

Hands-on Explainable AI (XAI)

AI Factory Austria / TU Wien · Feb. 2026

Foundations of LLM Mastery: Retrieval Augmented Generation