À propos
After graduating as MSc in Electrical Engineering at Sts. Cyril and Methodius University (Macedonia) in 2014, I obtained a PhD in Physics as part of the Nonlinear and Biomedical Physics group at Lancaster University (UK), after which I joined INS.
My research interests are at the intersection of nonlinear dynamics and computational neuroscience. I am interested in concepts from synchronization and population dynamics in application to brain-network modeling, with particular interest on the impact of time-delays. Using the brain-network modelling paradigm, I study the stability of network dynamics in surgical resection during epilepsy, and the impact of network damage in context of stroke. Additionally I’m involved in time-series analysis with time-frequency, information theory and statistical methods applied to electrophysiological and functional imaging data in relation to the whole-brain dynamics.
Publications
- A next generation neural mass model with neuromodulation — Journal of Computational Neuroscience, 2026
- The role of connectivity for the degeneracy of the brain’s resting state dynamics — Journal of Computational Neuroscience, 2026
- Principles and Operation of Virtual Brain Twins — IEEE Reviews in Biomedical Engineering, 2026
- CLUES A Comprehensive Workflow for Integrating Geospatial Data in Biomedical Research — Nature Communications, 2026
- Author Correction: Generating synthetic task-based brain fingerprints for population neuroscience using deep learning — Communications Biology, 2026
- Double projection for reconstructing dynamical systems: between stochastic and deterministic regimes — Machine Learning: Science and Technology, 2026
- Virtual Brain Inference (VBI) toolkit on EBRAINS — Journal of Open Source Software, 2026
- Spatiotemporal brain complexity quantifies consciousness outside of perturbation paradigms — eLife, 2025
- Synchronization in spiking neural networks with short and long connections and time delays — Chaos: An Interdisciplinary Journal of Nonlinear Science, 2025
- Framework for Brain-Derived Dimensions of Psychopathology — JAMA Psychiatry, 2025
- Projecting the morbidity burden of mental and behavioral disorders associated with increasing humid heat in Shanghai — Nature Mental Health, 2025
- A mechanism for the emergence of low-dimensional structures in brain dynamics — npj Systems Biology and Applications, 2025
- Generating synthetic task-based brain fingerprints for population neuroscience using deep learning — Communications Biology, 2025
- Virtual Brain Inference (VBI), a flexible and integrative toolkit for efficient probabilistic inference on whole-brain models — eLife, 2025
- Virtual brain twins: from basic neuroscience to clinical use — National Science Review, 2024
- The coming decade of digital brain research: A vision for neuroscience at the intersection of technology and computing — Imaging Neuroscience, 2024
- Multi-omics analyses of the environMENTAL project provide insights into mental health and disease — Nature Mental Health, 2024
- Symmetry breaking organizes the brain’s resting state manifold — Scientific Reports, 2024
- Linking neuroimaging and mental health data from the ABCD Study to UrbanSat measurements of macro environmental factors — Nature Mental Health, 2024
- Simulation-based inference on virtual brain models of disorders — Machine Learning: Science and Technology, 2024
- Large-scale population data enrichment in mental health research — Nature Mental Health, 2024
- A protocol for data harmonization in large cohorts — Nature Mental Health, 2024
- Rethinking ethics in interdisciplinary and big data-driven neuroscience projects — Nature Mental Health, 2024
- Characterization of regional differences in resting-state fMRI with a data-driven network model of brain dynamics — Science Advances, 2023