Matt Kanke is a Principal Scientist and bioinformatician in Chapel Hill with 11 years of experience applying systems biology approaches to genomic data. He has progressed from academic research on post-transcriptional regulation during a PhD at UT Austin to leadership roles at Cornell and a Genome Analysis Unit at Amgen, where he now heads principal-level efforts. His work blends computational analysis, translational genomics, and data-driven problem solving across HIV cure research and drug-discovery pipelines. Known for translating complex RNA and systems-level insights into actionable analyses, he bridges wet-lab questions and scalable bioinformatics workflows. Colleagues rely on him for rigorous experimental interpretation and for designing analyses that anticipate downstream biological validation. Outside standard bioinformatics duties, he brings a practiced ability to move academic methods into industry settings, accelerating decision-making in therapeutic programs.
11 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (PhD) Molecular Bioscience, Doctor of Philosophy (PhD) Molecular Bioscience at The University of Texas at Austin
Bachelor of Science (B.Sc.) Biology, Bachelor of Science (B.Sc.) Biology at University of Wisconsin-Stevens Point
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