Phillip Kirlin is an associate professor and Chair of the Data Analytics Program at Rhodes College with nine years of higher-education experience and a Ph.D. in Computer Science from UMass Amherst. He researches and teaches at the intersection of AI/ML and music informatics, specializing in computational music theory and composition, bringing formal training in machine learning and music theory to undergraduate curricula. Phillip has a strong track record of curriculum development and outreach, from intensive STEM instruction for gifted youth to workplace computer training. Based in Memphis, he blends rigorous academic research with practical pedagogy, often translating advanced computational methods into accessible classroom projects and student research opportunities. An underappreciated strength is his ability to bridge symbolic music theory and statistical learning, producing tools and analyses that inform both musicologists and machine learning practitioners.
9 years of coding experience
6 years of employment as a software developer
M.S., Computer Science, M.S., Computer Science at University of Massachusetts Amherst
B.S., Computer Science, B.S., Computer Science at University of Maryland
Contributions:27 commits, 28 pushes, 3 branches in 5 years 6 months
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