Astrophysicist
"Per Aspera Ad Astra."
I am an astrophysicist working at the intersection of gravitational lensing, machine learning, and data science. My research focuses on strongly lensed quasars, where I develop models to deblend spectra and extract physical information from complex observational data.
In parallel, I work as a data analyst and programmer, building data pipelines and translating complex datasets into actionable insights. I am particularly interested in problems that combine scientific reasoning with scalable computational solutions.
I am also engaged in science outreach and teaching, communicating astrophysics to diverse audiences and making complex ideas accessible across different contexts.
My primary research focuses on separating the spectral components of strongly lensed quasars from their host galaxies and the intervening lens. Using PyTorch and GRU (Gated Recurrent Units) networks, I develop algorithms for spectral decomposition that outperform traditional template-fitting methods.
Working with real observational data from the VLT/X-shooter and ESO NTT, I analyze the Spectral Energy Distribution (SED) of distant quasars to understand black hole growth and galaxy evolution under the magnifying power of cosmic lenses.
My research is aligned with the upcoming Legacy Survey of Space and Time (LSST), focusing on the development of automated pipelines to identify and deblend thousands of new lensed candidates in the Rubin Observatory stream.
Participated in observational runs at the New Technology Telescope (NTT) using the EFOSC instrument. Gained hands-on experience in real-time data acquisition, targeting lensed quasar candidates, and performing on-site quality assessment of spectroscopic data.
Collaborated with Prof. Timo Anguita and his research group on the analysis of high-resolution spectroscopic data, contributing to the development of robust lens modeling workflows using Lenstronomy. Presented my thesis at the Instituto de Astrofísica, UNAB.
DMF Soluciones Informáticas · May 2026 – Present
Bridging scientific rigor and software engineering, I design and implement end-to-end data pipelines, perform complex statistical analysis, and build full-stack solutions — from backend logic to user-facing interfaces. I bring the same precision required in observational science to every data challenge: rigorous validation, clean architecture, and results that are both reliable and meaningful.
As an active member of SEIDA (Student Society for Astronomical Research and Outreach), I am committed to democratizing scientific knowledge. I focus on making the complex physics of the universe accessible and exciting for young students, fostering a new generation of scientific curiosity in Chile.
"Black Holes" · The Grange School
"Earth, Sun & Moon" · The Grange School
"Telescopes" · Observatorio Calán
"Earth, Sun & Moon" · The Grange School
"Nebulae" · Escuela Luis Cruz Martínez, Andacollo
"Nebulae" · Escuela Luis Cruz Martínez, Andacollo
"AGN & Gravitational Lensing" · UNAB
"The Moon & Black Holes" · Craighouse School
Delivered at schools and universities across Chile as part of SEIDA's outreach program.
I am always open to discussing research collaborations, PhD opportunities, or data-driven projects.