After a Bachelor in Psychology at the University of Göttingen and the Universidade Federal do Ceará, I studied Cognitive Neuroscience at Maastricht University and wrote my master thesis at the Translational Neuromodeling Unit, University of Zurich and ETH Zurich. During my PhD in Computer Science at the University of Basel and the Krembil Insitute for Neuroinformatics in Toronto, I cast different symptoms of schizophrenia as instances of hierarchical Bayesian inference and used machine learning to predict clinically relevant outcomes like treatment response and transition to psychosis. Since 2022, I have joined Rick Adam's lab at UCL as a postdoctoral research fellow. My work at UCL focusses on developing biophysically-informed models of EEG data to measure neuroreceptor and cell function non-invasively in patients with schizophrenia. I am also interested in extending these approaches to other psychiatric conditions, digital healthcare and understanding the effects of psychedelics on the brain.