Rahulsimham Vegesna
Senior Scientist at Merck
Bloomfield, Connecticut, United States
Summary
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Senior🎓
Top SchoolRahulsimham Vegesna is a Senior Scientist and bioinformatician with 12 years of experience applying computational genomics and machine learning to cancer and evolutionary biology problems. He has led development of reproducible Nextflow pipelines and scalable analyses for multiomic datasets, from bulk and single-cell RNA-seq to TCR and immunopeptidomics, and now contributes at Merck. His work has bridged discovery and validation—identifying shared non-canonical neoantigens and neoantigen-reactive TCRs at Gritstone and building single-cell–driven drug-response models at NCI that informed combination therapy stratification. Proficient in R and Python and experienced on HPC, he also created novel tools such as AmpliCoNE for Y-chromosome copy-number analysis during his PhD. He combines a solid grounding in biochemistry, statistics, and immunology with a track record of coordinating cross-disciplinary teams to move projects from data to biologically actionable insights. His publication record and active collaboration across NGS, proteomics, and clinical teams reflect both deep technical skill and practical impact.
12 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (PhD), Bioinformatics and Genomics, Masters, Bioinformatics, BTech, Bioinformatics, Doctor of Philosophy (PhD), Bioinformatics and Genomics, Masters, Bioinformatics, BTech, Bioinformatics at Penn State University
The University of Texas at El PasoProgramming languages (1)
Github contributions (5)
makovalab-psu/AmpliCoNE-tool
May 2019 - May 2022
AmpliCoNE: Ampliconic Copy Number Estimator
Contributions:1 push, 4 comments, 1 issue in 3 years 1 month
makovalab-psu/great-ape-Y-evolution
Jan 2020 - Sep 2020
Contributions:7 commits, 3 pushes in 8 months
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