Akshay Kakumanu is a Principal Scientist and computational biologist with 13 years of experience applying bioinformatics and machine learning to NGS and multi-omics data, most recently leading analytic efforts at Foundation Medicine. He holds a PhD from Penn State and has a proven track record developing tools (e.g., SeqUnwinder) and pipelines for ChIP-seq, RNA-seq and consortium-scale datasets like ENCODE and ROADMAP. Akshay combines hands-on software development in Java, Perl, R and Python with statistical and optimization-based ML (EM, ADMM, random forests, SVMs) to build custom classifiers for biological problems. He has led cross-institutional collaborations, managing experimental design and large-scale data sharing (UCSC hubs, Galaxy instances) across teams. Beyond method development, he focuses on interpretable models of gene regulation and epigenetics to accelerate personalized medicine. Colleagues describe him as a communicator who bridges experimental and computational labs to turn complex omics projects into actionable results.
12 years of coding experience
10 years of employment as a software developer
Bachelor of Technology (B.Tech.), Bachelor of Technology (B.Tech.) at Indian Institute of Technology, Guwahati
Doctor of Philosophy (PhD) Bioinformatics, Doctor of Philosophy (PhD) Bioinformatics at Penn State University
Master of Science (M.S.), Master of Science (M.S.) at Virginia Tech
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Akshay Kakumanu - Principal Scientist at Foundation Medicine