Lucia Poma

Lucia Poma is a Neural Engineer at the Wyss Center for Bio and Neuroengineering in Geneva, working at the intersection of neurotechnology, neuromodulation, and translational neuroscience. Her research focuses on identifying objective biomarkers and developing adaptive algorithms for closed-loop brain stimulation to advance precision therapies.

Trained as a Bionic Engineer and currently completing doctoral research in computational neuroscience, she specializes in spectral and temporal signal analysis, machine learning, and the multimodal integration of neural, behavioral, and kinematic data. She applies this toolkit across both movement and psychiatric indications, from Parkinson’s disease to OCD.

Lucia leads the DBSAnnotator project, an open tool for annotating and documenting deep brain stimulation (DBS) programming sessions and facilitating faster and more reliable research. Documentation is available at DBS Annotator documentation. The project reflects her broader interest in translating neuroengineering advances into patient-centered therapies and in building bridges between clinicians, engineers, and data scientists.