About
Vesna research applies statistical, computational, and machine-learning methods to health and biomedical data, combining information from neuroimaging, genetics, clinical trials, and population studies. A key focus of Vesna's work is understanding brain ageing and neurodegenerative disease in ways that can translate into real-world clinical benefit. Vesna works closely with clinicians and industry partners, and her research has led to patented methods used in clinical trials. Vesna's research is supported by UK charities and by collaborations with industrial partners, has produced frameworks widely adopted to study complex brain networks and multimodal data integration.
Vesna's research has also been featured in public media, helping to communicate scientific findings to wider audiences (see media coverage: MEDIA).
Before joining Swansea University, she was based at the Technical University of Berlin and the University of Aberdeen, where she currently holds an Honorary position. Vesna started her research and academic career at the Institute of Biophysics, University of Belgrade Medical School, where she was a faculty member after earning her PhD in Biophysics. At the same time she was awarded a Royal Society Visiting Research Fellowship at the Department of Physics, Lancaster University.
Vesna is currently Programme Director for the MSc in Health Data Science, where she also leads the Health Data Modelling module. Vesna also lectures on the Research Methods in Medical Physics module.
Vesna is a Fellow of the Higher Education Academy (HEA).
