À propos
I have studied physics, soft condensed matter in IASBS, Iran. Then, I received my Ph.D. in computer science from INRIA CR Nancy Grand Est. My doctoral thesis, under the direction of Dr. Axel Hutt, aimed to investigate the mechanisms underlying the observed specific changes in EEG patterns during propofol-induced anesthesia. I have extensive experience working with neural models at single neuron and neural population levels, in both numerically and analytically approaches. I have a keen interest in Bayesian inference and parameter estimation algorithms. Currently, I am a postdoctoral researcher with TNG at INS Marseille, under the direction of Dr. Viktor Jirsa. My aim is to infer the dynamics of personalized large-scale brain network models using Bayesian framework.
Publications
- Principles and Operation of Virtual Brain Twins — IEEE Reviews in Biomedical Engineering, 2026
- High-resolution Bayesian Virtual Epileptic Patient using neural field models — Network Neuroscience, 2026
- Virtual Brain Inference (VBI) toolkit on EBRAINS — Journal of Open Source Software, 2026
- Dynamic causal modelling in probabilistic programming languages — Journal of The Royal Society Interface, 2025
- The Virtual Parkinsonian patient — npj Systems Biology and Applications, 2025
- Probabilistic inference of social presence across brain scales reveals enhanced synaptic efficacy — 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
- Inference on the Macroscopic Dynamics of Spiking Neurons — Neural Computation, 2024
- Simulation-based inference on virtual brain models of disorders — Machine Learning: Science and Technology, 2024
- Effects of the spatial resolution of the Virtual Epileptic Patient on the identification of epileptogenic networks — Imaging Neuroscience, 2024
- Parameter estimation in a whole-brain network model of epilepsy: Comparison of parallel global optimization solvers — PLOS Computational Biology, 2024
- Characterization of regional differences in resting-state fMRI with a data-driven network model of brain dynamics — Science Advances, 2023
- Delineating epileptogenic networks using brain imaging data and personalized modeling in drug-resistant epilepsy — Science Translational Medicine, 2023
- Personalised virtual brain models in epilepsy — The Lancet Neurology, 2023