Ramit聽Bharanikumar

Computational Biologist II

Chicago, Illinois, United States
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Summary

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Ramit Bharanikumar is a computational biologist with nine years of experience applying machine learning and bioinformatics to immunology and oncology problems. He has driven T-cell receptor discovery and HLA-focused analyses at Adaptive Biotechnologies and Tempus, developing pipelines for HLA genotyping, bTMB calling, and tools linking TCRs to HLA variation. His work spans both research and product-focused environments, contributing to companion-diagnostic development and disease-associated biomarker discovery for IBD, MS, and celiac disease. Trained at Georgia Tech (M.S. in Bioinformatics and Computational Biology), he also brings early experience building predictive genomics tools and deep-learning classifiers from his undergraduate projects. Colleagues know him for turning complex immunogenomic questions into robust, production-ready pipelines and for his knack for combining statistical rigor with practical NGS engineering. Based in Chicago, he blends academic curiosity with industry delivery across high-throughput sequencing and clinical biomarker applications.
code9 years of coding experience
job3 years of employment as a software developer
bookM.S, Bioinformatics and Computational biology, M.S, Bioinformatics and Computational biology at Georgia Institute of Technology
bookBachelor of Technology (B.Tech.), Biotechnology, Bachelor of Technology (B.Tech.), Biotechnology at Sri Venkateswara College of Engineering
languagesHindi, Tamil, English
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Github Skills (23)

sequence8
cargo8
feature-selection8
classification7
package-manager7
rust7
rna-seq6
hla6
seq6
machine-learning5
variants4
bioinformatics4
deep-learning4
genomics4
bioconda4

Programming languages (5)

CSSCRustPerlPython

Github contributions (5)

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ramit29/ramit29.github.io

Dec 2018 - Sep 2019

Contributions:18 pushes, 1 branch in 8 months
Contributions:36 pushes, 1 branch in 3 months
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Ramit Bharanikumar - Computational Biologist II