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My main research area focuses on the study and management of chronic musculoskeletal pain within the field of physiotherapy. Currently, we are conducting comprehensive evaluations using functional near-infrared spectroscopy (fNIRS) and electroencephalography (EEG) to gain deeper insights into the neural correlates of chronic pain. Additionally, we are integrating Virtual Reality as an innovative therapeutic tool to enhance pain management strategies. Our research aims to develop advanced, evidence-based interventions that improve outcomes for patients suffering from chronic pain conditions.

My PhD thesis project focuses on non-invasive brain stimulation for treating Chronic Low Back Pain. Specifically, I am conducting a Randomized Controlled Trial (RCT) to evaluate the effects of an active physiotherapy program combined with transcranial Direct Current Stimulation (tDCS) on Pain, Resting State EEG activity, and an EMG biomarker: the Flexion Relaxation Phenomenon. Then we would also like to determine different low back pain phenotypes.

Researching for my Master Thesis in the clinical field, I am interested to learn more about endogenous pain modulation and pain neuroscience and technologies in general. I want to explore brain mechanisms of motivation and learning in context of pain stimuli. For the decision which pain stimuli I want to use for my study and how to oberserve the reaction, I am eager to learn more about brain monitoring and core technologies. Furthermore, I am doing an internship in the field of Biomarkers and data science, working with EEG.

Impact of pain in society.

We are interested in the innovation of electrical stimulation therapies for neurological disorders (a.k.a. neuromodulation), specifically for chronic pain management. The overall goal of our group is to develop a patient-specific approach using computer models and clinical measurements. We believe this research will help optimize current technologies and innovate new therapies to improve patient outcomes.

Neurotech for cognitive rehabilitation and age-technology. Neuro-rehabilitation engineering, signal processing and control