Kiran Garimella is a computational scientist and institute-level research leader with 14 years of experience developing algorithms and software for DNA sequencing and genomic analysis, currently shaping long-read methods at the Broad Institute in Cambridge. He blends deep hands-on expertise in molecular biology and sequencing technologies with strong software skills (C/C++, Java) and data visualization to deliver production-ready tools and pipelines, including contributions to variant calling and GATK-era workflows. His work on linked de Bruijn graphs and genome-graph approaches during his Oxford postdoc advanced assembly and de novo mutation discovery for challenging genomes such as malaria and cancer. As a director-level engineer he bridges method development and operational delivery, having led teams that standardized large-scale exome and whole-genome processing. Notably, he pairs rigorous academic training (DPhil, Genomic Medicine & Statistics) with practical cloud and pipeline deployments, bringing both research insight and production discipline to genomics software development.
14 years of coding experience
6 years of employment as a software developer
Master of Science (MS), Physics, Master of Science (MS), Physics at Clemson University
DPhil, Genomic Medicine and Statistics, DPhil, Genomic Medicine and Statistics at University of Oxford
This Repo will be for the sharing of code for the long reads analysis initiative.
Contributions:3 reviews, 15 PRs, 14 pushes in 1 year 5 months
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Kiran Garimella - Institute Scientist at Broad Institute of MIT and Harvard