Mark Freestone is Senior Lecturer in the Centre for Psychiatry, Wolfson Institute for Preventive Medicine, Queen Mary University of London. He has a first class honors degree in Social and Political Sciences fromt the University of Cambridge, and gained his PhD in Applied Social Science from the University of Nottingham in 2005. His core research interests include: psychosocial treatment of mental health, particularly personality disorder; forensic mental health; the epidemiology of violence; clinical presentation and sub-types of psychopathy; and criminological research relating to prisons and prisoners.
Dr Freestone's work with the Turing will follow three work packages:
- Development of risk models for prediction and management of violence in mental health services. In collaborating with local Mental Health Trusts, this will pursue the development of software and capacity for the implementation of causal modelling for negative outcomes (e.g. offending; relapse of mental health disorder) within clinical and forensic services in East London.
- Expert knowledge elicitation methods in development of machine learning algorithms. Building on previous work using expert knowledge elicitation in understanding risk drivers (e.g. Constantinou, Freestone et al., 2014; 2015), as well as methodological developments applicable elsewhere.
- Using machine learning approaches to interrogate health service use patterns. In collaboration with local Trusts and Clinical Commissioning Groups, this research will use advanced probabilistic techniques to consider drivers for success and failure of services users access mental health and primary care services within East London.