I am a Chilean researcher living in Switzerland holding a resident permit B with right to work.
I have 8+ years of experience in topics that include data science, data analysis, Python, SQL, machine and deep learning.
I am LSST Data Science Fellowship alumni, I won Hack’n’Lead 2023 and a Euclid STAR Prize in 2025.
I am analytical, structured, and a curious team player with a passion for learning and solving complex problems.
Lead a project to integrate and validate a comprehensive catalogue from published and new high-quality images, designing the full data workflow and expert annotation process.
Updated and maintained data simulation pipelines to enable discovery in complex image datasets.
Supervised development of machine learning models for automated image classification, including advanced architectures like vision transformers.
Designed, analyzed, and visualized large datasets derived from complex database queries.
Led an experiment evaluating human and AI performance in image classification, managing data, creating visualizations, and contributing to publication.
Applied neural networks to advance image processing tasks.
Developed image classification models using convolutional neural networks.
Contributed to creating a visualization tool to interpret model outputs.
Organized a weekly research colloquium and supervised Master’s thesis and student projects.
I use machine learning and large imaging surveys to study strong gravitational lensing — a natural telescope that lets us probe dark matter, dark energy and distant quasars.
I train convolutional neural networks to find gravitational lenses in wide-field survey images. With only a few hundred known lenses, I built a simulation pipeline with Lenstronomy that creates realistic training sets from real observational data.
Read more
How reliable are experts at spotting lenses? I led an experiment comparing the purity and completeness of professors, postdocs, students and citizen scientists with neural networks on the same images — published in MNRAS (2023).
Read more
Stars in a foreground galaxy magnify lensed quasars on micro-arcsecond scales. I use this effect to measure the size and temperature profile of quasar accretion disks, and to correct time-delay measurements of the Hubble constant.
Read moreSelected first-author papers. The full list includes all peer-reviewed articles and collaboration papers.
MNRAS 523, 4413
A&A 666, A1
ApJ 890, 3
Fellowships, awards and funding for research and outreach.
Won the Hack’n’Lead hackathon.
€5,874 for AVERO, an asteroid workshop delivering 900 kits and teacher training to Chilean public schools.
Selected for the second cohort of the two-year LSST Corporation Data Science Fellowship Program.
Named among Chile’s 100 Young Leaders by El Mercurio and Universidad Adolfo Ibáñez for astronomy outreach.
Best student abstract at the annual meeting of the Chilean Astronomical Society.
In 2013 I co-founded Star Tres with Dr. Javiera Rey and Dr. Carolina Agurto — the first Spanish-speaking astronomy outreach initiative of its kind led by women. We explain new discoveries in simple words and show the human side of science.
Feel free to reach out about collaborations, talks or opportunities.
