Personal

• E-mail: fagyallo [at] student.elte.hu

Education

• 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

Languages

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

Skills

• 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)

Hobbies

• Sound generation, transportation