I am a mathematician and researcher with a background spanning applied mathematics, mathematical analysis, scientific computing, and machine learning.

I received my MSc in Pure Mathematics from the University of Novi Sad in 2016 and my PhD in Mathematical Engineering from Ghent University in 2023. I subsequently worked as a postdoctoral researcher and teaching assistant at Ghent University, where I was a member of the Clifford Research Group.

My research interests include partial and fractional differential equations, viscoelastic wave propagation, Clifford and hypercomplex analysis, numerical methods, and model-aware machine learning. In recent years, my work has increasingly focused on the intersection of mathematical modelling and artificial intelligence, particularly interpretable, weakly supervised, and physics-informed methods for medical imaging.

During my academic career, I worked on topics including fractional wave equations, sparse and dictionary-based representations, geometric and hypercomplex methods, PET lesion segmentation, and CT-to-ultrasound synthesis. A common thread throughout my work has been the combination of rigorous mathematical modelling with numerical computation and data-driven methods.

Alongside research, I have extensive teaching experience in complex analysis, functional analysis, mathematical analysis, probability and statistics, artificial intelligence, approximation methods, and related subjects at Ghent University.

After ten years in academia, I transitioned to industry in 2026. I remain strongly interested in applied mathematics, scientific computing, machine learning, and mathematically grounded modelling, and this website brings together my research, publications, teaching, academic work and related activities.