Pablo Gómez

Hey there, welcome to this site. ✌️

My name is Pablo and I work 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.

Navigation:

• Research & Publications — Current projects and collaborations
• Resources & Links — Useful links and past open-source work

Quick Links: Google Scholar | LinkedIn | GitHub

About Me

I'm a computer scientist by training (TUM) focusing on machine learning, numerical methods and high-performance computing with a PhD in deep learning methods for medical computer vision. Previously, I worked as a Research Fellow in ESA's Advanced Concepts Team and spent time as a seconded researcher at AI Sweden in Stockholm.

Current Work

My work spans computational methods for space science — machine learning, high-performance computing, and spacecraft operations. Some recent highlights include:

• AnomalyMatch: Tool for finding rare astronomical objects in large image archives
• PASEOS & torchquad: Open-source tools developed during my time at ESA ACT

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

Looking for a Thesis?

In case you are a student currently looking for a thesis related to my research topics write me an email to pablo.gomez at esa.int .

During the last years I have supervised various theses / 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 .