Hiranyamaya Dash is a bioinformatician with nine years of experience applying computational methods to epigenomics, single-cell transcriptomics, and GWAS to probe microglial states in neurodegeneration. Based at Imperial College London and the UK Dementia Research Institute, she builds and maintains R/Python packages and Nextflow pipelines, packaging analyses for reproducibility and Bioconductor distribution. Her work blends statistical rigor (benchmarking novel epigenomic assays) with machine learning approaches (CNNs and modern Hopfield networks) to solve inverse problems and scale analyses on HPC. A versatile problem-solver, she co-supervises students, manages lab computing resources, and favors open-source solutions—if a tool doesn’t exist she builds and publishes it.
9 years of coding experience
Master's degree, Bioinformatics and Theoretical Systems Biology, Distinction, Master's degree, Bioinformatics and Theoretical Systems Biology, Distinction at Imperial College London
Bachelor of Science (Honors), Biomedical Sciences, 90.7% (First Division with Distinction), Bachelor of Science (Honors), Biomedical Sciences, 90.7% (First Division with Distinction) at Bhaskaracharya College of Applied Science, Delhi University
Simple python script to find available slots for your age and state/district using Cowin API.
Contributions:16 commits, 3 PRs, 15 pushes in 18 days
apipythonagepython-scriptdistrict
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