I am a clinical and cognitive neuroscientist caring about brain health and treatment options for neuropsychiatric patients. My initial training is in experimental psychology. Over the past decade, I have specialized in research at the intersection of computer science, machine learning, clinical neuroscience and public health. My work focuses on large-scale modeling of biomedical outcomes from brain data i.e. electroencephalography (EEG), magnetoencephalography (MEG), magnetic resonance imaging (MRI) as well as heterogeneous social data.

This can be described from at least three perspectives: 1) computational methods and tools for handling high dimensional and heterogenous input data, 2) statistical modeling algorithms and methods for predicting biomedical outcomes from brain signals, 3) applied studies in cognitive or clinical neuroscience focusing on elucidating biomedical outcomes, e.g, diagnosis in disorders of consciousness, assessment of perioperative complications or cognitive decline.

My previous position at the French National Institute for Research in Digital Science and Technology (Inria Saclay-Île-de-France) near Paris, has allowed me to develop robust strategies for modelling biomedical outcomes from heterogenous biobehavioral inputs. In my current role at the Roche Innovation Center Basel, I work on assessing the impact of novel compounds on brain dynamics and cognitive outcomes by applying knowledge, tools and resources resulting from my research.