I am a PhD student at the CMC lab, focusing on Dynamical system theory for neural data analysis and their impact on cognitive processes. In my research I employ a variety of computational models, including data-driven dynamical modeling, spiking neural networks, and machine learning algorithms.

News

  • On June 30, I will lead a workshop at the 2nd Summer School of the International Max Planck Research School on Cognitive NeuroImaging (IMPRS CoNI).
    The workshop is titled “Dynamic similarity analysis of brain data and artificial neural networks.”

  • I finished the Leipzig 48th Half-marathon in 1:59:44! 🏃‍♂ ️
    Leipzig Marathon race bib and finisher medal

  • I will be presenting my work at Cosyne 2026.
    I will present two contributions:
    1) “Unsupervised identification of behaviorally-relevant neural states with non-linear temporal embeddings” (first author) — Poster Session 3, #001.
    2) “Revealing task-relevant dynamics via decomposition of intrinsic and input-driven dynamics” (co-author) — Poster Session 1, #031.
  • I am honoured to present our latest findings at the 1st Workshop on Learning Dynamical System.
    My presentation is titled “The geometry of thought: mapping brain states through dynamic similarity analysis”.
  • Our latest work is out: Fast dynamical similarity analysis.
    The GitHub repository is available here: CMC-lab/fastDSA.
    For a quick tour, see this thread: Bluesky post.