Márton Fadgyas


  • E-mail: fagyallo [at]


  • 2013–2018 Secondary School, Lovassy László Secondary Grammar School, Veszprém - Hungary, Advanced Mathematics Class
  • 2018–2021 Bachelor, Eötvös Loránd University Faculty of Science, Budapest - Hungary, Physics BSc. Final Thesis: Creating Artificial Networks with Real Life Characteristics (supervised byAnna Zafeiris)
  • 2021– Masters, Eötvös Loránd University Faculty of Science, Budapest - Hungary, Biophysics MSc


  • Hungarian - Native
  • English - Advanced (C1)
  • German - Intermediate (B2)


  • Python: Intermediate - Data Exploration, Simulation and Visualisation; Network Implementation and Analysis
  • C: Beginner - Mostly Data Simulation
  • SuperCollider, MATLAB, C++: Basic (self-learned) knowledge
  • Windows shell, UNIX bash: User level knowledge

Fields of Interest (Previous Studies)

  • Network Analysis - Statistical appriach for complex inner-network dynamics (mostly Epidemic and Social networks): degree correlations, network models, robustness, spreading, motifs and communities
  • Signalling Networks - Quantitative Approach: Transcription (Perceptron and Boolean networks), EGF Signal Transduction, Stochastic Simulations of Coupled Chemical Reactions
  • Medical Imaging - MRI Physics (Sequences, Signal Processing, Imaging)


  • Sound generation, transportation
Márton Fadgyas
Published by the LINK-Group | Editor: Péter Csermely | Last updated on 10 09 2013
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