Csaba Dékány

© Csaba Dékány
  • PhD Student
  • Trans-disciplinary Applications
I am a PhD student at the Max Planck Institute for Intelligent Systems in Tübingen, working on astronomical imaging using machine learning under the supervision of Prof. Bernhard Schölkopf and Prof. Hans-Walter Rix. My first-author paper on combining continuous and discrete adversarial training for LLMs was published at NeurIPS 2025, based on research I conducted during an internship at INSAIT focused on AI safety. I hold an MPhil in Machine Learning from the University of Cambridge and a BSc in Computer Science with honours from Eötvös Loránd University. My broader research background spans generative material discovery, knot theory with ML, and medical AI. In high school, I won bronze medals at both the International Physics Olympiad (IPhO) and the European Physics Olympiad (EuPhO).