Ashley Doane is a computational biologist with 11+ years of experience and a 15-year trajectory in computational immunology and cancer genomics, now serving as Chief Computational Biologist building cfDNA-based cancer diagnostics. With a PhD from Cornell and postdoctoral training at Weill Cornell and MSK, Ashley specializes in single-cell sequencing, multimodal genomics, and AI/ML for translational applications. They bridge deep academic rigor—supported by an NCI F31 fellowship—with product-focused computational strategy to move assays from evaluation to predictive models. Known for interdisciplinary collaboration and mentoring in academic labs, Ashley also brings an uncommon artistic background in jazz composition that informs creative problem-solving in complex data analysis.
11 years of coding experience
15 years of employment as a software developer
BS, Psychology, BS, Psychology at The City College of New York
Doctor of Philosophy (PhD), Computational Biology and Medicine, Doctor of Philosophy (PhD), Computational Biology and Medicine at Cornell University
B.F.A, Jazz Composition and Performance, B.F.A, Jazz Composition and Performance at Mannes School of Music at The New School University
Contributions:93 commits, 79 pushes, 1 branch in 4 years
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