Ábel Ságodi

PhD Student in CATNIPLAB at Champalimaud Research, supervised by Memming Park.

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Hi, I’m Ábel Ságodi. I am a PhD student at the Champalimaud Centre for the Unknown in Lisbon, working at the intersection of theoretical neuroscience, machine learning, and control theory. With a background in Mathematics, Physics, and Computational Science (MSc & BSc from the University of Amsterdam), I approach the brain as a complex dynamical system. I am fascinated by how biological circuits, despite being noisy and biological, can perform robust computation. I draw inspiration from the philosophy of science to develop an interpretable language for this computation, finding the right mathematical abstractions to understand how the brain actually works.

news

Jul 15, 2026 Our paper Data-Enabled Local Reach-Avoid Control Near Saddle Equilibria with a Neuronal Interpretation got accepted for the 65th IEEE Conference on Decision and Control (CDC)! This is joint work with Joshua L. Pughe-Sanford, Xuehao Ding and Dmitri B. Chklovskii.
May 10, 2026 Two posters were accepted for Dynamics Days Europe! The first one is Universal Approximation Theorems for Dynamical Systems with Infinite-Time Horizon Guarantees in collaboration with Memming Park, while the second is Piecewise Projective Maps for Analytical Solutions of Spiking Neural Network Dynamics with Ildefonso Ferreira Pica and Bill Podlaski.
Apr 23, 2026 I will be giving a talk at the Minisymposium: Dynamics, Computations and Learning in Living Systems (organized by Kalel Rossi and Aneta Koseska) at Dynamics Days Europe on 07-23-2026.

selected publications

  1. arXiv
    Dynamical Archetype Analysis: Autonomous Computation
    Ábel Ságodi and I. M. Park
    arXiv preprint arXiv:2507.05505, 2025
  2. NeurIPS
    Back to the Continuous Attractor
    Ábel Ságodi, G. Martin-Sanchez, P. A. Sokól, and I. M. Park
    In Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024