Venkatesh Kamaraj

Venkatesh Kamaraj

Higher Degree by Research Candidate

South Australian Immunogenomics Cancer Institute

Faculty of Health and Medical Sciences


Venkatesh Kamaraj is an HDR candidate in the Computational Cancer Immunogenomics Laboratory, led by Dr. Stefano Mangiola, at the South Australian Immunogenomics Cancer Institute (SAiGENCI), University of Adelaide.
 
Venkatesh holds an undergraduate degree in Engineering Physics from the Indian Institute of Technology Madras. Before joining SAiGENCI, he was a Project Scientist at the Centre for Integrative Biology and Systems Medicine, IIT Madras. There, he developed novel computational frameworks to analyze large-scale genome graphs, identifying population-specific structural complexities and functional features in human genomes. He also contributed to the GenomeIndia Project, a landmark national initiative to understand the genetic diversity of Indian populations.
 
His current research at SAiGENCI focuses on studying the immune system's behavior in cancer using large-scale single-cell data. By integrating bioinformatics, systems biology, and data science, he aims to gain a better understanding of immune regulation, cellular diversity, and disease mechanisms in cancer.

  • Journals

    Year Citation
    2025 Bhattacharyya, C., Subramanian, K., Uppili, B., Biswas, N. K., Ramdas, S., Tallapaka, K. B., . . . Kahali, B. (2025). Mapping genetic diversity with the GenomeIndia project. Nature Genetics, 57(4), 767-773.
    DOI
    2025 Kamaraj, V., Gupta, A., Raman, K., Narayanan, M., & Sinha, H. (2025). GViNC: an innovative framework for genome graph comparison reveals hidden patterns in the genetic diversity of human populations.. NAR genomics and bioinformatics, 7(3), lqaf121.
    DOI
    2024 Kamaraj, V., & Sinha, H. (2024). SCI-VCF: a cross-platform GUI solution to summarize, compare, inspect and visualize the variant call format.. NAR genomics and bioinformatics, 6(3), lqae083.
    DOI Europe PMC2
  • Preprint

    Year Citation
    2024 Kamaraj, V., Gupta, A., Raman, K., Narayanan, M., & Sinha, H. (2024). GViNC: an innovative framework for genome graph comparison reveals hidden patterns in the genetic diversity of human populations.
    DOI
    2023 Kamaraj, V., & Sinha, H. (2023). SCI-VCF: A cross-platform GUI solution to Summarise, Compare, Inspect, and Visualise the Variant Call Format.
    DOI

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