Dr Pavan Kumar Mallikarjun MBBS, DPM, MBA, PhD, MRCPsych

Image of Pavan Mallikarjun

Institute of Clinical Sciences
Clinical Senior Lecturer & Honorary Consultant Psychiatrist

Contact details

Institute of Clinical Science / School of Psychology
College of Medical and Dental Sciences / College of Life & Environmental Sciences
The Barberry National Centre for Mental Health
25 Vincent Drive
B15 2FG

Pavan is an academic Psychiatrist whose main research interests are in prediction modelling in Psychiatry and Global Mental Health including prevention of mental disorders including depression and anxiety. He is a Consultant Psychiatrist at the Birmingham Early Intervention in Psychosis service.


  • MRCPsych, Royal College of Psychiatrists

  • PhD (Psychiatry)

  • MBA

  • DPM

  • MBBS


Pavan received his undergraduate medical training from the University of Mysore and completed his post graduate psychiatry training at the Central Institute of Psychiatry and the All Birmingham Rotational Scheme. He gained his PhD from University of Nottingham for work exploring the coordination of brain activity in psychosis using multimodal neuroimaging techniques. He worked as a Clinical Lecturer at University of Nottingham before taking up the post as a Consultant Psychiatrist in the Early Intervention Service. He took up the current post in 2015. Pavan is Honorary Consultant Psychiatrist to the West Birmingham Early Intervention in Psychosis service, part of Birmingham Women’s and Children’s NHS Foundation Trust. He has completed an executive MBA from the Quantic School of Business & Technology.


Postgraduate supervision

Pavan is interested in supervising graduate students in topics related to the investigation of psychopathology, pathophysiology, and treatment of mental disorders including psychosis and mood disorders.

If you are interesting in studying any of these subject areas please contact Pavan directly, or for any general doctoral research enquiries, please email mdsgradschool@contacts.bham.ac.uk

For a full list of available Doctoral Research opportunities, please visit our Doctoral Research programme listings  

Current PhD supervision

Rebecca Lee – Developing and validating outcome prediction models for people with First Episode Psychosis using Supervised Machine Learning – Funded by IMH Priestly Scholarship

Samuel Leighton (University of Glasgow) - Developing biologically relevant prediction models for individual patients with First Episode Psychosis using machine learning – Funded by Clinical Scientist Office – Clinical Academic Fellowship.

Pavan is interested in supervising doctoral research in the following areas, and can be contacted directly.

  1. Global Mental Health with focus on prevention, school based interventions, Psychosis.
  2. Delineation of mental and neuronal processes in Psychosis using neuroimaging.
  3. Prediction modelling in Psychiatry


Pavan’s research has two aims – Prevention of mental disorders including anxiety and depression, and Prediction modelling in Psychiatry. His previous work included delineation of mental and neuronal processes in psychosis using multimodal neuroimaging techniques including fMRI and EEG.

Current research:

1.       Global Mental Health - The SAMA Project: Safeguarding Adolescent Mental Health in India

Pavan is Co-Investigator on a MRC / ESRC / UK Aid  / NIHR funded project (Jan 2021-Jan 2024) in collaboration with the National Institute of Mental Health and Neurosciences in India, and involving multiple Indian and UK partners (University of Leeds, University of Oxford, University of Bradford). Project SAMA (meaning equal in Sanskrit) aims to develop and test a whole school, systems based interventions to provide Indian adolescents with information and strategies to take care of their mental health and to improve school cultures and family knowledge to support well-being.

2.       Prediction modelling of Outcomes in Psychosis

Psychotic disorders, including schizophrenia, are among the 20 leading causes of disability worldwide. People with psychosis have heterogeneous outcomes with more than 40% not achieving good outcomes. Early identification of individuals with a higher risk of poor outcomes at initial clinical contact may facilitate personalized interventions, reduce time to their initiation and improve utilization of resources. Pavan is working with collaborators including from Centre for computational biology (UoB), University of Glasgow, University of Melbourne, University of Leiden  and World Psychiatric Association in developing and validating outcome prediction models in psychosis using Artificial Intelligence and Machine Learning techniques.

ORCID id: https://orcid.org/0000-0002-9902-9254

Other activities

Pavan has active interest in entrepreneurship and is currently involved in 3 start-ups in the field of Health tech, Care tech and Education technology.


Leighton, S. P., Upthegrove, R., Krishnadas, R., Benros, M. E., Broome, M. R., Gkoutos, G. V., Liddle, P. F., Singh, S. P., Everard, L., Jones, P. B., Fowler, D., Sharma, V., Freemantle, N., Christensen, R. H. B., Albert, N., Nordentoft, M., Schwannauer, M., Cavanagh, J., Gumley, A. I., … Mallikarjun, P. K. (2019). Development and validation of multivariable prediction models of remission, recovery, and quality of life outcomes in people with first episode psychosis: A machine learning approach. The Lancet Digital Health, 1(6), e261–e270.

Upthegrove, R., Lalousis, P., Mallikarjun, P., Chisholm, K., Griffiths, S. L., Iqbal, M., Pelton, M., Reniers, R., Stainton, A., Rosen, M., Ruef, A., Dwyer, D. B., Surman, M., Haidl, T., Penzel, N., Kambeitz-llankovic, L., Bertolino, A., Brambilla, P., Borgwardt, S., … PRONIA Consortium. (2020). The Psychopathology and Neuroanatomical Markers of Depression in Early Psychosis. Schizophrenia Bulletin, sbaa094.

Mallikarjun, P. K., Lalousis, P. A., Dunne, T. F., Heinze, K., Reniers, R. L., Broome, M. R., Farmah, B., Oyebode, F., Wood, S. J., & Upthegrove, R. (2018). Aberrant salience network functional connectivity in auditory verbal hallucinations: A first episode psychosis sample. Translational Psychiatry, 8(1), 69.

Hopkinson, M. D., Reavell, J., Lane, D. A., & Mallikarjun, P. (2019). Cognitive Behavioral Therapy for Depression, Anxiety, and Stress in Caregivers of Dementia Patients: A Systematic Review and Meta-Analysis. The Gerontologist, 59(4), e343–e362.

Di CapCapite, S., Upthegrove, R., & Mallikarjun, P. (2018). The relapse rate and predictors of relapse in patients with first-episode psychosis following discontinuation of antipsychotic medication. Early Intervention in Psychiatry, 12(5), 893–899.

Gregory, A., Mallikarjun, P., & Upthegrove, R. (2017). Treatment of depression in schizophrenia: Systematic review and meta-analysis. The British Journal of Psychiatry: The Journal of Mental Science, 211(4), 198–204. 

View all publications in research portal