Dr. Ravi Prabhakar More

I am a Research Fellow (Computational Biologist) in the Department of Epilepsy at the UCL Queen Square Institute of Neurology. My research applies large-scale genomics to epilepsy and neurodevelopmental conditions, with a focus on rare-variant mechanisms and building reproducible NGS variant-analysis workflows for research and clinical translation.

 

Previously, I was a Research Associate in the Department of Paediatrics at the University of Cambridge, where I supported WGS-based clinical diagnosis in Cerebral Palsy and contributed to periodic reanalysis of rare-disease cohorts in NICU/PICU settings to improve diagnostic yield. I’ve developed and deployed genomics workflows across HPC and cloud environments (e.g., DNAnexus), integrating platforms such as Illumina TSS and Emedgene, and using tools including Nextflow/Snakemake, Conda, Docker/Singularity, and API-driven phenotype data pipelines.

 

Earlier, I worked on the IMAGE study at the Autism Research Centre, University of Cambridge, performing rare-variant analysis in autism multiplex families; this work was published in Nature Molecular Psychiatry, where I was a shared first and corresponding author. Before moving to the UK, I contributed to the ADBS program at TIFR-NCBS, developing HPC workflows for exome data analysis in severe mental illness and building a GenomicsQC pipeline for stem-cell line assessment.

 

I hold a PhD in Bioinformatics (NEERI/SRTM University, India). I have authored 20+ peer-reviewed research articles, edited a Springer volume (Soft Computing for Biological Systems), and have received awards including Outstanding Project Personnel (CSIR-NEERI) and an international internship at NIBB, Japan.