Brain-Inspired Computing with Photonic Oscillators

Based at IFISC (Institute for Cross-Disciplinary Physics and Complex Systems), a “Unit of Excellence” between the Spanish National Research Council (CSIC) and the University of the Balearic Islands (UIB), I am part of the POSTDIGITAL+ consortium spread across Europe.

My research lies at the intersection of machine learning, physics (photonics), cognitive/computational neuroscience and mathematics (dynamical systems). The goal is build bridges between these fields. My belief is that by deeply understanding the learning dynamics of the brain, we can generalize and use these insights to improve current machine learning models and create other intelligent physical systems.

Currently, I am doing computational and theoretical research on oscillatory models and their dynamics. These models share many properties with full-brain dynamics, neural networks and laser dynamics, but remain general and interpretable.

Timeline:

• April 2026: Presented preliminary results on the learning dynamics of recurrent Stuart-Landau oscillator networks @ NEXT-AI in Loughborough, UK (best poster award).
• October 2025: Started my PhD.

My Notion page · Stuart-Landau simulations

Education

• PhD in Physics - IFISC, CSIC-UIB, ongoing
• Master of Science in Computational Science - University of Amsterdam, 2025
• Bachelor of Science in Physics - Technical University of Munich, 2023

For my full CV, please see here.

Selected other research experience

Master’s thesis - University of Amsterdam/IFISC, 2025

I investigated delay-coupled networks of Stuart–Landau oscillators as trainable recurrent architectures for sequence processing. The computational model was motivated by laser dynamics and aimed at bridging physics-based oscillator models with machine learning methods.

Key achievements:

• Implemented and optimized oscillator networks in JAX with end-to-end training using complex-valued gradients and IMEX integration.
• Conducted ablation studies (showing the critical role of coupling and delay buffers in learning capacity) as well as a scaling study.
• Analyzed learned dynamics, observing emergent sparsity, spectral properties, and role differentiation within the network.

Thesis · Code

FAILS framework: Automated LLM service failure analysis - Vrije Universiteit Amsterdam, 2025

I developed “FAILS - A Framework for Analysis of Incidents on LLM Services”, published and presented at ICPE’25 (16th ACM/SPEC International Conference on Performance Engineering in Toronto, Canada).

This work addresses the emerging challenge of understanding failure patterns in Large Language Model services like ChatGPT through automated data collection, analysis, and visualization.

Paper · Code

Brain data visualization - University of Amsterdam, 2024

Created custom visualization tools for investigating lesion and stimulation dynamics in the human brain using calcium imaging data. Based on the 2023 IEEE SciVis Contest.

PDF · Code

Criminal network analysis - University of Amsterdam, 2024

Contributed to Citadel, a web-based tool to visualize and interact with criminal network graphs. Research project for the Amsterdam Police Department using React, Node.js, and Cytoscape.js and a dataset of the cocaine trafficking network in the Netherlands.

PDF · Code

Chaotic relationship dynamics - University of Amsterdam, 2024

Explored emergent behaviors in complex relationships through “Romantic Chaos” — modeling relationship dynamics using coupled ODEs, analyzing Lyapunov exponents and bifurcation diagrams.

PDF · Code

3D cell culture analysis - Technical University of Munich, 2022

Bachelor’s Thesis: Applied a U-Net to analyze complex biological data from 3D cell culture experiments at TUM, supervised by Prof. Dr. Andreas Bausch and Dr. Fabian Englbrecht.

PDF

Work experience

Web Developer/Project Manager @ komDesign, since 2022

• Helped with the 2022-2023 redesign of Biogen’s corporate website using Adobe Experience Manager and coordinated the multi-lingual adaptation for the affiliate websites, coordinating teams in 20+ countries and coaching the respective website owners.
• Developed a modern, responsive website for a CSR campaign of Biogen Germany using Flask, lightweight frontend components and facial recognition models. The website won the 2025 German Brand Award in the category of “Excellence in Brand Strategy and Creation Branded CSR Activities - Social”.
• Various other projects including automation scripts, video and photo editing, and other web development projects.