Team

Prof. Dr. Xenia Kobeleva

Research Group Leader

Xenia Kobeleva is an assistant professor (tenure track) in Neurostimulation at Ruhr University Bochum (faculty of medicine). She is an expert in neurodegenerative diseases and brain modelling and affiliated with several leading brain research institutions, such as UPF’s computational neuroscience lab and the German Center for Neurodegenerative Diseases (DZNE). As a physician by training, she identifies as a translational neuroscientist, attaining research questions from the bedside, studying them in the lab, and bringing solutions back to the bedside.

For more information on Xenia Kobeleva, please see her personal page.

Riccardo Leone

PhD Candidate

Riccardo Leone obtained his Medical Degree (2016) and his Certificate of Specialization in Radiology (2022) from San Raffaele University in Milan, Italy. Since September 2022, he is a PhD candidate in Neuroscience at the Computational Neurology Research Group.

In his research, Riccardo Leone focuses on building whole-brain models of brain functional activity in patients along the dementia spectrum. By incorporating biological observables (e.g., vascular pathology) in these models, he seeks to develop deterministic explanations of how these pathophysiological processes lead to cognitive impairment, and he also aims to develop reliable models that could be used for personalized simulation of treatments to improve patients’ treatment options.

Franziska-Maria Fuchs

MD Candidate

Franziska-Maria Fuchs has been studying Medicine at the University of Bonn since 2019 and joined the Computational Neurology Group in 2023. She accompanies a clinical trial in the field of the hereditary spastic paraplegias (HSP), in which she investigates the treatment outcome of transcranial magnetic stimulation on patients suffering from HSP.

Briand Qeriqi

MD Candidate

Briand Qeriqi has been studying medicine at Ruhr University Bochum since 2021. He joined the Computational Neurology Group in 2023 for pursuing his doctoral thesis. His work focuses on clinical-experimental research in the field of amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD), utilizing imaging techniques such as functional Magnetic Resonance Imaging (fMRI) and brain modeling tools.

Pegah Majlessi

Student Research Assistant and Master's student

Pegah Majlessi has been pursuing a Master's degree in Electrical and Information Engineering with a focus on Medical Engineering at Ruhr University Bochum since 2020. She joined the Computational Neurology Group in 2024, where she works as a student research assistant and also working on her master thesis on EEG dynamics.

Alumni

• Sobhan Moazemi
• Maher Zoubi
• Julian Herrmann
• Julian Schulte
• Steven Geysen
• Nahid Hasan