Javier Garrues Apecechea

M.Sc. Student
Mathematical Institute & Department of Computer Science
University of Bonn
Bonn, Germany

Email: What is 7 × 3?
LinkedIn: linkedin.com/in/mathsandai

Research Interests

Mathematical Foundations of Artificial Intelligence, Geometric and Topological Deep Learning, and Physics-Informed Machine Learning.

C-PERL: Chained Physics-Enhanced Residual Learning: Authors: Javier Garrues, Greta de Marco, Federico Antonello.; A physics-enhanced residual learning framework for spacecraft component health monitoring, developed with ESA/ESOC. Paper under preparation.

M.Sc. Mathematics & M.Sc. Computer Science: University of Bonn, Bonn, Germany. Oct 2024 – present.
Focus: Geometry, Computational Topology and ML.
B.Sc. Mathematics & B.Sc. Computer Science: University of Granada, Granada, Spain. Sept 2019 – July 2024.
Focus: Geometry, Statistics and ML.
Top 6% of class.

Teaching Assistant, Principles of Deep Learning, Oct 2026 – Mar 2027: Lamarr Institute for Machine Learning and Artificial Intelligence, Bonn, Germany.
Teaching Assistant for the Principles of Deep Learning course in the MSc in Artificial Intelligence.
Instructor: Zorah Lähner.
AI & Machine Learning Intern, Sep 2025 – Jan 2026: European Space Agency (ESA) — ESOC, Darmstadt, Germany.
Research on Physics-Informed Machine Learning for Prognostics and Health Management (PHM).
Supervised by Dr. F. Antonello (PoliMi & MIT).
Quantitative Modelling Intern, Jun 2023 – Aug 2023: Banco Santander Corp. & Investment Banking, Madrid, Spain.
Built a stochastic correlation calibration model and pipeline.

A full curriculum vitae is available upon request.

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