Maria Cabello, with a degree in psychology from the Universidad Pontificia de Comillas, Madrid and a PhD from the department of psychiatry of the Universidad Autónoma de Madrid, has more than 10 years of experience in the field of research. She has participated in numerous epidemiological and intervention studies in patients with mental disorders (Some examples of these studies include: MHADIE, PARADISE, AGES-CM, Functional rehabilitation in bipolar patients, and PATHWAYS). Her work has also included statistical analysis and writing of scientific articles using databases of population studies such as NESARC, WHO World Health Survey, WHO SAGE and Age with Health, always with an emphasis on the issue of disability and functioning in mental disorders. She is currently co-principal investigator of the European EMPOWER project whose objective is the development and evaluation of a multimodal telematic intervention for the promotion of health and well-being and the prevention of disorders in workers of European small and medium-sized enterprises (SMEs).
At the teaching level, she participates in the subject of medical psychology in the degree of medicine. At the postgraduate level, she has participated in the training of numerous researchers both nationally and internationally. At the national level, she participates in the interuniversity master’s degree in initiation to research in mental health at CIBERSAM. At the international level, she has participated in two Marie Curie networks for training researchers in the field of mental health (MURINET and MARATONE), being a supervisor and teacher in the training programs of the latter network. She has also participated in the EMERALD master’s degree in mental health training led by King’s College, London. Lastly, she has collaborated with the National Autonomous University of Mexico (UNAM) in a face-to-face and online training program for the detection and treatment of mental disorders in health professionals who are not specialists in mental health (based on the WHO guide mhGAP).