His main interest in psychiatry is evidence-based mental health and his research focuses on the evaluation of treatments in psychiatry, mainly major depression, bipolar disorder and schizophrenia. His research in the methodology of evidence synthesis has now a specific focus on individual patient data network meta-analysis and data science, trying to assess the validity, breadth, structure and interpretation of innovative statistical and machine learning approaches to better inform the decision-making process between patients and clinicians and personalise treatment indications in routine clinical care.