Hayriye Cagnan
Career Path
Leadership Team, MRC CoRE in Restorative Neural Dynamics
Associate Professor, Imperial College London
Dynamic Neuromodulation (DyNeuMo)
MRC Skills Development Fellowship
Ph.D. in Neuroscience, University of Amsterdam and Philips Research Laboratories
Research Themes
Tools (devices, software, algorithms)
Wearable technologies can be used to objectively quantify symptoms, track disease progression, and provide reliable endpoints for clinical trials. We develop machine learning and signal processing pipelines to analyse longitudinal sensor data and interactive computer games to collect structured remote-monitoring data.
Approaches
Experimental Medicine
Through the integration of theoretical modelling and neuroimaging, we aim to uncover key disease mechanisms and enable the delivery of dynamic, mechanism-driven therapies employing invasive and non-invasive approaches.
Computational Modelling
We develop computational frameworks to determine when, where, and how stimulation should be delivered for maximal therapeutic benefit across diverse neurological conditions.
Biomedical Engineering
Effective symptom management requires patient-specific tuning, yet optimisation in clinical settings is resource-intensive. We are therefore developing strategies to enable remote therapy adjustment.