Ritu Kundu is a Staff Bioinformatics Scientist at Illumina with 11 years of experience bridging algorithms research and production genomics, focused today on improving detection and representation of structural variants using orthogonal data. She brings a strong computational foundations—PhD-winning work in stringology, pattern matching and indexing—into method development and high-performance implementations in C++ (and learning Rust), complemented by practical pipelines in Nextflow/Snakemake and data analysis in Python. Her background spans academia (postdoc at NUS, teaching algorithm courses at King’s) and industry, giving her a rare mix of rigorous algorithmic insight and production engineering discipline. Comfortable with git, JIRA, Confluence and Unix tooling, she routinely turns research ideas into reproducible pipelines and tools. Outside work she balances a research career with raising two young children, a perspective that informs her pragmatic, efficiency-minded approach.
11 years of coding experience
9 years of employment as a software developer
University of Delhi
Doctor of Philosophy - PhD, Computer Science, Won 2019 King’s Outstanding PhD Thesis Prize, Doctor of Philosophy - PhD, Computer Science, Won 2019 King’s Outstanding PhD Thesis Prize at King's College London
Contributions:5 releases, 18 commits, 9 pushes in 2 months
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