For a full overview of my publications please refer to Google Scholar

Below are short summaries with links on things I am working and have worked on.

## Recent Projects

### AnomalyMatch

GitHub

Identifying Astrophysical Anomalies in 99.6 Million Cutouts from the Hubble Legacy Archive Using AnomalyMatch
David O'Ryan, Pablo Gómez
arXiv:2505.03508

We systematically searched approximately 100 million image cutouts from the entire Hubble Legacy Archive using AnomalyMatch, a semi-supervised anomaly detection method. This comprehensive search uncovered 138 new candidate gravitational lenses, 18 jellyfish galaxies, and 417 mergers or interacting galaxies. The method can trawl the complete archive within just 2-3 days, demonstrating its potential for large-scale astronomical surveys including upcoming Euclid data releases.

AnomalyMatch: Discovering Rare Objects of Interest with Semi-supervised and Active Learning
Pablo Gómez, David O'Ryan
arXiv:2505.03509

AnomalyMatch is an anomaly detection framework combining semi-supervised FixMatch algorithms with active learning for efficient discovery of rare objects. The method achieves strong performance on astronomical and natural image benchmarks, processing predictions for 100 million images within three days on a single GPU. Integrated into ESA's Datalabs platform, it facilitates targeted discovery of scientifically valuable anomalies in vast astronomical datasets.

## Other Activities

### Workshop / Competition Organisation

• ESA Datalabs Ariel Hackathon 2025
• Space Optimisation Competition (SpOC) at GECCO 2022
• AI for Space Workshop at CVPR 2021
• Health Hackers Malaria Challenge
• Health Hackers Machine Learning Workshop Series

### Supervised Theses and Internships

#### 2025

• Machine Learning-based Anomaly Detection in XMM-Newton Instrument Telemetry Data
  Tristan Dijkstra - M.Sc. thesis at TU Delft - Report

#### 2024

• Instance Segmentation of Space Telescope Artefacts Using Convolutional and Transformer-Based Architecture
  Elisabeta-Iulia Dima - B.Sc. thesis at Politehnica University of Timişoara - Paper, Code
• Periodicity in billions of Gaia astrometric timeseries
  Anicet Nougaret - ESA Internship

#### 2023

• Trajectory Optimization for a Spacecraft Swarm Orbiting P67/Churyumov-Gerasimenko
  Rasmus Maråk - Master's Thesis at KTH - Code, Report (TBA), Paper
• Investigation of the Robustness of Neural Density Fields
  Jonas Schuhmacher - TUM Guided Research - Code, Report, Paper
• Preliminary Investigation of Alternative Reality Environments for Accessibility Testing in Spacecraft Design
  Antonia Sattler - Bachelor's Thesis at Technical University Ingolstadt of Applied Sciences - Thesis (TBA)

#### 2022

• Accessibility on a Lunar Base
  Antonia Sattler - ESA Internship - Report
• Neural Inverse Design of Nanostructures (NIDN)
  Torbjørn Bogen-Storø - ESA Internship - Code, Paper
• Neural Network Approximators of Linear Algebra Operations
  Tove Ågren - ESA Internship - Code
• Efficient Polyhedral Gravity Modeling in Modern C++
  Jonas Schuhmacher - TUM Interdisciplinary Project - Code, Report
• Modeling Upcoming Megaconstellations in Space Debris Environment Simulations
  Albert Noswitz - TUM Bachelor's Thesis - Code, Thesis
• Integrating Numerical Backend Modularity into Torchquad Using Autoray
  Fritz Hofmeier - TUM Master's Thesis - Code, Thesis

#### 2021

• Efficient Trajectory Modelling for Space Debris Evolution
  Oliver Bösing - TUM Bachelor's Thesis - Code, Thesis
• Efficient Implementation and Evaluation of the NASA Breakup Model in Modern C++
  Jonas Schuhmacher - TUM Bachelor's Thesis - Code, Thesis

#### 2018

• Airflow in the Two-Mass Model
  F. W. - FAU Master's Research Internship in Electrical Engineering