I am a first-year PhD student at the Network Science Institute, Northeastern University London, supervised by Prof István Kiss. My general research interests include optimization, graph theory, and algorithms, with a focus on their applications in network science.
Prior to starting my PhD, I worked on developing machine learning solutions for start-ups in medical technology and fraud detection. Previously, I was a student researcher at the Jozef Stefan Institute, where I was applying deep learning to robotics and evaluating machine learning algorithms.
I completed my master's thesis at the Institute for Algorithms and Complexity, TUHH, as part of my MSc in Industrial Mathematics at the University of Hamburg. Prior to that, I studied for an MSc in Applied Statistics and a BSc in Computer Science and Mathematics at the University of Ljubljana.