Quentin’s interest in mental health science was sparked during a BA in Neuroscience at the University of Oxford. Subsequently, he completed an MSc in Medical Statistics at the London School of Hygiene and Tropical Medicine to improve his understanding of quantitative methods and statistical modelling.

He then spent two years as a research assistant, primarily at the MRC Cognition and Brain Sciences Unit at the University of Cambridge, working on an online study aiming to characterise the computational effects of a common psychotherapeutic strategy ("cognitive distancing"). He also worked with collaborators at the University of Oxford Department of Psychiatry on projects using electronic health records to quantify the population burden of long COVID.

During his PhD, Quentin is interested in researching the underlying (i.e., computational) effects of existing and novel treatments for mental health disorders, and understanding how we can integrate these theoretical insights with large-scale datasets to improve treatment prediction at the symptom- and patient-level. Outside of research he enjoys bouldering, sourdough baking, bedroom DJing, and investigative podcasts.