- Marko Lalovic
- London, UK
I am a first-year PhD student at the
Network Science Institute,
Northeastern University London.
My main research interests are in optimization, graph theory, and algorithms,
especially, as they apply to data analysis. 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.
I have worked on applying machine learning in biotechnology, medicine, and
fraud prevention. Previously, I was a student researcher at the
Jozef Stefan Institute, where I
was applying deep learning to robotics and evaluating machine learning
algorithms.