University Lecturer in Clinical Informatics - University of Cambridge, Department of Psychiatry:
Honorary Consultant Liaison Psychiatrist - Cambridgeshire & Peterborough NHS Foundation Trust and Cambridge University Hospitals NHS Foundation Trust.
Rudolf delivers clinical care in liaison psychiatry, supports CPFT in developing electronic medical record systems, and conducts research in computational psychiatry. This includes clinical informatics and computational modelling of mind and behaviour. For the CLIMB project Rudolf leads the grant and provides direct scientific, technical, and information governance input.
Dr Shanquan Chen
Postdoctoral Research Associate
Shaun is building a data visualisation system based on hospital records to support clinician and patient-led research. He will evaluate the effects of intervention on patients, and explore the potential risk and protective factors of health service utilisation/status.
Mrs Linda Jones
Patient and Public Involvement Lead
Linda leads our PPI programme. She is responsible for the dissemination of information about data research and seeking the views of patients and the public about information sharing and research.
Mr Martin Burchell
Software Developer - CamCOPS
Martin works on CamCOPS, a cross-platform application for capturing the outcomes of psychiatric assessments. The system is secure, easy to extend, and simple to deploy. It can run off laptops, tablets and desktops.
Mrs Jenny Nelder
Research Project Manager
Jenny is responsible for the day-to-day management of the project.
Phone: 01223 333597
Wellcome Trust Fellow and honorary consultant psychiatrist - University of Cambridge, Department of Psychiatry,
Sam's interests include neurobiology and treatment of obsessive-compulsive related disorders and behavioural addictions. Conditions of interest include obsessive-compulsive disorder (OCD), pathological gambling, kleptomania, trichotillomania, excoriation disorder, and attention-deficit hyperactivity disorder (ADHD). For the CLIMB Project Sam will translate advances in online cognitive testing to large scale NHS populations and electronic patient record databases.
Clinical Psychologist - University of Cambridge, MRC Cognition and Brain Sciences Unit
Director of the Cambridge Centre for Affective Disorders
Tim is a clinical psychologist working in the Emotion Group where he leads the Cognition, Emotion and Mental Health Programme. He is also Director of the Cambridge Centre for Affective Disorders (C2:AD). His research interests include Experimental investigation of cognition-emotion relationships, depression, post-traumatic stress, translating findings from basic behavioural science and neuroscience research into the refinement and development of clinical and educational interventions and assessments, a transdiagnostic approach to affective disorders. For the CLIMB Project Tim is leading on phenotyping of MRC longitudinal cohorts and their linkage to mental health and national databases.
Dr Kristel Klaus
Postdoctoral Research Associate
Kristel is linking the Cambridge and Peterborough NHS Foundation Trust Research Database mental health records to existing local and nationwide databases, such as Hospital Episode Statistics and the National Pupil Database.
Professor of Psychiatry & Deputy Head, School of Clinical Medicine, University of Cambridge
Peter uses epidemiological techniques to elucidate causes of adult mental illness with an emphasis on cohort studies and psychotic disorders. He also researches service configurations to identify and treat those with mental illness early and effectively, and use RCT methods at service and individual levels. Population prediction of psychosis and early intervention in psychosis are clinical interests. See http://www.psymaptic.org and http://www.cameo.nhs.uk. For the CLIMB Project Peter will provide expertise in epidemiology and develop statistical models of mortality in serious mental illness.
Wellcome Trust Intermediate Clinical Fellow - University of Cambridge, Department of Psychiatry
Honorary Consultant Psychiatrist - Cambridgeshire and Peterborough NHS Foundation Trust.
Golam leads the Inflammation and Psychiatry (InPsych) group (www.immunopsychiatry.com) at the University of Cambridge, Department of Psychiatry. Funded by the Wellcome Trust, the InPsych group examines potential role of immune system in depression and schizophrenia. Golam is also interested in life course epidemiology of major mental illness, and comorbidity between physical and mental illness. For the CLIMB Project Golam will translate advances in peripheral blood biomarkers of psychiatric disorder to large scale NHS populations and electronic patient record databases.
Dr Joel Parkinson
Postdoctoral Research Associate
Joel is involved in helping to design and carry out a research project to characterise the relationship between the immune system and mental health. It is called the Mood and Joint Immunopsychiatry (MOJO) study.
Professor of Computational Biology, Department of Computer Science and Technology, University of Cambridge
Pietro's research interests focus on using bioinformatics, computational biology models and machine learning to integrate various types of data (molecular and clinical, drugs, social and lifestyle) across different spatial and temporal scales of biological complexity to address personalised and precision medicine. For the CLIMB Project Pietro will provide apply deep learning methods to mental health data.
Director of Research, Brain Mapping Unit, Department of Psychiatry, University of Cambridge
Neuroimaging is a major contributor to the renaissance of experimental psychiatry and psychology. Drawing on the extensive infrastructure of Cambridge Neuroscience and Department of Psychiatry’s close links between research and clinical practice, as well as to other departments and institutes, we have a programme of applied neuroimaging studies to better understand the neurobiology of mental health disorders, treatment efficacy, and the effects of injury and surgery. For the CLIMB Project John will use his established expertise in the management of large datasets to link CPFT and CamCOPS data to existing University HPHI infrastructure/software to create a broad research platform.