Lucia Poma

Lucia Poma is a Neural Engineer at the Wyss Center for Bio and Neuroengineering in Geneva, where she drives research at the intersection of neurotechnology, neuromodulation, and translational neuroscience. Her work focuses on identifying objective biomarkers and developing adaptive algorithms for closed-loop brain stimulation, bridging invasive and non-invasive approaches to advance precision therapies for neurological and psychiatric disorders.

With a degree in Bionic Engineering and ongoing doctoral research in computational neuroscience, Lucia specialises in neurophysiological signal analysis, machine learning, and the integration of behavioural and kinematic data to uncover dynamic neural signatures. Her research targets clinically meaningful symptoms, such as speech dysfunction in Parkinson’s disease and symptom heterogeneity in obsessive-compulsive disorder (OCD), with the goal of enabling real-time, personalized neuromodulation.

Lucia leads the DBSAnnotator project, a tool designed to streamline the correlation of clinical observations with neural insights, facilitating more efficient and accurate data annotation for deep brain stimulation (DBS) research. For more details, visit the DBS Annotator documentation. This initiative reflects her commitment to translating neuroengineering advances into patient-centerd therapies and promoting collaboration between clinicians, engineers, and data scientists.