Portrait Photo
  • 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.
  • Exact Algorithms for MaxCut on Split Graphs, Marko Lalovic. arXiv:2405.20599 [ pdf, bib, code ]
  • latent2likert: Converting Latent Variables into Likert Scale Responses, Lalovic M. R package version 1.2.2 [ pdf, bib, site ]

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