Akshatha Nayak is a computational cancer genomics researcher and PhD candidate with a decade of experience bridging bioinformatics, large-scale genomics, and applied machine learning. Having contributed to EMBL-EBI’s FAANG data portal and driven genome-scale analyses of non-B DNA structures and G-quadruplexes, she combines domain expertise in cancer biomarkers with practical engineering experience from roles at Oracle and Johnson & Johnson. Her work spans algorithm optimization for chromosomal breakpoint detection to validating ML models for preclinical drug safety, reflecting a rare mix of rigorous research and production-minded validation. Based in Austin, she is building a research program that interrogates how passenger mutations shape cancer development, bringing computational depth and cross-institutional collaboration to translational genomics.
10 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at The University of Texas at Austin
Doctor of Philosophy - PhD (Transferred) Bioinformatics and Genomics, Doctor of Philosophy - PhD (Transferred) Bioinformatics and Genomics at Penn State University
Bachelor's degree Computer Science and Engineering, Bachelor's degree Computer Science and Engineering at Rajiv Gandhi Institute of Technology, Kottayam
Contributions:2 reviews, 7 PRs, 31 pushes in 2 years 5 months
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