Summary
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.
9 years of coding experience
3 years of employment as a software developer
M.S, Bioinformatics and Computational biology, M.S, Bioinformatics and Computational biology at Georgia Institute of Technology
Bachelor of Technology (B.Tech.), Biotechnology, Bachelor of Technology (B.Tech.), Biotechnology at Sri Venkateswara College of Engineering
Hindi, Tamil, English