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Jaya Thomas is a highly accomplished individual with a PhD in Computer Science Engineering from the Indian Institute of Technology (IIT) Indore, India. With over 5 years of research experience, she has cultivated a robust skill set in various aspects of computational biology and bioinformatics. Her expertise includes handling, managing, processing, and analyzing large volumes of Generation Sequencing data, with a particular focus on transcriptomic studies at both bulk and single-cell levels. Additionally, her proficiency extends to mutational analysis at whole exome and genome levels, Neoantigen prediction, genotype prediction, and processing TcR sequence data, as well as HPV viral sequencing. Jaya has a comprehensive understanding of Genome-Wide Association Studies (GWAS) and possesses a strong background in computer science and mathematics, which is complemented by strong programming skills in C, C++, R, Python, Matlab, and Java. Her hands-on experience with High-Performance Computing (HPC) platforms further reinforces her technical prowess. Jaya is also fervently interested in Machine Learning Algorithms, Data Mining, Statistical Analysis, Computational Biology, and Computational Intelligence techniques, which characterize her research pursuits.