Pablo Gómez

Machine Learning & Space Science at ESA

I'm a computer scientist working at the intersection of machine learning and space science, focusing on ways to maximise scientific return from ESA missions. Currently based at ESA's Space Astronomy Centre near Madrid, I collaborate with colleagues from Gaia, XMM-Newton, Euclid, Ariel and other missions while contributing to the ESA Datalabs platform.

Previously a Research Fellow in ESA's Advanced Concepts Team and seconded researcher at AI Sweden in Stockholm. Member of the Gaia Consortium (DPAC) and the Euclid Consortium.

Pablo Gómez
AnomalyMatch — anomaly detection in 100M Hubble images
AnomalyMatch Semi-supervised anomaly detection — searched ~100 million Hubble cutouts, uncovering 1,300+ anomalies including gravitational lenses and jellyfish galaxies.
Cutana — astronomical cutout generation at scale
Cutana High-performance astronomical image cutouts at petabyte scale — processes all 30 million Euclid Q1 sources in under 4 hours.
PASEOSSpacecraft simulation torchquadGPU numerical integration All projects →

I'm a strong proponent of open science and have been fortunate to supervise many student projects over recent years. Beyond work, I'm interested in classical music, electronic music production, and decent coffee.

In the News

The AnomalyMatch work on 100 million Hubble images received wide coverage:

Looking for a Thesis?

If you are a student looking for a thesis related to my research topics, write me an email at pablo.gomez at esa.int. During the last years I have supervised various theses and projects and I find involving students in active research important and rewarding!

Opinions expressed here are my own. If anything here sparks your interest, feel free to send me an email at contact at pablo-gomez.net .