Fellow Detail

Photo of Gaurav Bhalerao
Name Gaurav Bhalerao
Affiliation University of Oxford
Department Department of Psychiatry
Research area code (B8) Medical technology
Fellowship Inauguration Year 2023
Institutional Website https://www.psych.ox.ac.uk/team/gaurav-bhalerao
ORCID 0000-0002-3325-3413
GitHub gvbhalerao591
Twitter gvbhalerao591
LinkedIn gauravbhalerao

Neuroimaging, Magnetic Resonance Imaging, Machine Learning and Pattern Recognition, Computational Psychiatry, Brain Stimulation Modeling

Short Biography

I am a postdoctoral researcher at the Wellcome Centre for Integrative Neuroimaging (WIN), Dept of Psychiatry, University of Oxford. My research interests include neuroimaging in psychiatry, machine learning, and computational modeling of brain stimulation.

I am currently working on the Dementias Platform UK (DPUK) project which aims to find new ways of detecting, treating, and preventing dementia. My work involves adapting the UK biobank brain imaging pipeline for various DPUK datasets that are made accessible through the DPUK Data portal to advance dementia research. This work also includes exploring the inclusion of additional pipelines for the calculation of measures specifically relevant to dementia cohorts and developing methods to facilitate cross-cohort analyses. Additionally, I am working on making the pipeline accessible from the DPUK remote analysis environment for the users of the DPUK Data Portal who wish to apply the pipeline to new datasets.

I work with various neuroimaging software/tools for the analysis of multimodal brain magnetic resonance imaging data such as FSL, SPM, Freesurfer, etc. I utilize various programming languages such as Python, MATLAB, and R for coding, machine learning, and statistical data analysis. I enjoy working with big datasets from various psychiatric cohorts, developing and troubleshooting brain imaging pipelines, and reproducibility in neuroimaging research. I am elected as Oxford lead of the UK reproducibility network. In this role, I work closely with other network leads and experts at the UK Reproducibility Network to support open and transparent research practices across the university. I am a contributor to the Code Reproducibility (CodeRep) open community project. Training materials written in CodeRep will help non-computing audiences acquire core skills for developing sustainable and reproducible code.

I have completed my Masters in Biomedical Engineering at Manipal Institute of Technology (Manipal, India) and PhD in Dept of Psychiatry at National Institute of Mental Health and Neurosciences (NIMHANS, Bengaluru, India). For my PhD, I worked on developing machine learning classification models with the neuroimaging and eye tracking data for Schizophrenia and Obsessive Compulsive disorder. A part of this work also involved developing computational brain models for studying the electric field distribution in the responders and non-responders of the Transcranial direct current stimulation (tDCS) technique.

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