Assistant Professor at the Departamento de Ingeniería Informática, Universidad de Santiago de Chile.
Associate Researcher at the Data Observatory.
PhD in Astronomy and Astrophysics, University of Manchester (Jodrell Bank).
Day to day, I write Python and CUDA, profile slow code, fight with radio interferometry data, and teach Operating Systems and Distributed Systems to undergraduates.
- Principal developer of Pyralysis, a Python framework for big-data radio interferometry aimed at SKA-era volumes.
- PI of the DICYT Regular 2026 project Pyralysis: Desentrañando los Campos Magnéticos del Cosmos con Big Data y Supercómputo.
- Co-PI of FONDECYT Regular 2025 on the physical conditions and kinematics of planet-forming systems.
- Working with Prof. Anna Scaife on unrolling algorithms for Faraday cube reconstruction.
| Repo | What it is |
|---|---|
| snow | caSa pythoN self-calibratiOn frameWork. Unified interface over tclean, wsclean, gpuvmem, and rascil for self-calibration pipelines. |
| gpuvmem | GPU-accelerated maximum entropy method for radio interferometric image synthesis. CUDA from the ground up. |
| csromer | Compressed sensing framework for Faraday depth reconstruction. The code behind my MNRAS 2023 paper. |
| ocarina | Utilities for interferometric data processing. |
| simulate_interferometer | Synthetic interferometric visibilities for algorithm testing. |
| usach-modern | Modern Beamer template with USACH corporate colors. Use it if you teach at USACH. |
| formato-tesis-usach | LaTeX template for USACH theses, following the 2014 manual. |
Heads up: most of my active research code, including Pyralysis, lives on GitLab rather than here.
Master swimmer at Ñuñoa Master Club. LEGO sets when nothing's on fire. Suspense and thriller novels, plus books on neuroscience and psychology. Colo-Colo on weekends. Whatever's in the headphones depends on the bug: Pink Floyd or Joy Division for the long ones, Metallica or Ghost when something finally compiles.