I use mathematical modeling and digital twin techniques to study both brain function and human metabolism. My research spans two primary areas. In neuroscience, I focus on the mechanisms of neurovascular coupling – using computational models to bridge neuronal electrical activity and the resulting vascular responses (such as the BOLD-fMRI signal). This systems approach helps quantify how different neural pathways (e.g. inhibitory neurons) contribute to measurable brain signals.
In parallel, I develop physiologically-based digital twin models of alcohol absorption and metabolism. These personalized simulations integrate multiple biomarkers of alcohol (fast and slow metabolites) to retrospectively reconstruct an individual’s alcohol intake, with applications in forensic and medical contexts.
Through this dual focus, my work demonstrates how mechanistic, individualized models can yield deeper insights in both neuroscience and forensic medicine.
