I am a PhD student at the Network Science Institute, Northeastern University London, advised by Prof. István Z. Kiss.

My research interests include optimization, graph theory, and algorithms, with a focus on their applications in network science.

Prior to my PhD, I completed an MSc in Industrial Mathematics at the University of Hamburg, with a master's thesis at the Institute for Algorithms and Complexity, TUHH.

Before that, I studied Computer Science and Mathematics at the University of Ljubljana and worked as a student researcher at the Jožef Stefan Institute.

  • Likelihood-based inference for birth-death processes with composite birth mechanisms, Marko Lalovic, Nicos Georgiou, and István Z. Kiss. arXiv:2604.20422
  • The Paradox of Neglecting Changes in Behavior: How Standard Epidemic Models Misestimate Both Transmissibility and Final Epidemic Size, Binod Pant, Marko Lalovic, István Z. Kiss, and Mauricio Santillana. medRxiv:2025.12.07.25341782
  • Exact Algorithms for MaxCut on Split Graphs, Marko Lalovic. arXiv:2405.20599
  • latent2likert: Converting Latent Variables into Likert Scale Responses, Marko Lalovic. R package.

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