Renesh Bedre is a Bioinformatics Scientist with eight years of experience building targeted NGS solutions and bioinformatics pipelines, currently developing Ion AmpliSeq-based assays and ML/AI enhancements at Thermo Fisher Scientific in Carlsbad, CA. He combines deep academic training (PhD in Computational Biology and Bioinformatics) with practical expertise in Python, R/Bioconductor, HPC and cloud (AWS) to deliver scalable NGS analysis workflows. His background spans transcriptomics, large-scale genotyping, GWAS, alternative splicing, and software/tool development from his research at Texas A&M and LSU AgCenter. Renesh has a track record of translating complex omics problems into production-ready pipelines, standalone tools, and web services, and has led successful grant-funded projects and training programs. Notably, he blends algorithm development and parallel computing with hands-on wet-lab collaboration, enabling actionable bioinformatics for humans, plants, and pathogens.
8 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (PhD), Computational Biology and Bioinformatics, Doctor of Philosophy (PhD), Computational Biology and Bioinformatics at Louisiana State University
Master of Technology (M.Tech.), Bioinformatics, Master of Technology (M.Tech.), Bioinformatics at Indian Institute Of Information Technology
Contributions:42 commits, 92 pushes, 2 branches in 2 years 5 months
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