Michael Phillips is a software developer and applied mathematician with 13 years of experience bridging research-grade algorithms and production analytics. He holds a Ph.D. in Applied Mathematics (graph theory) and has a proven record—halving a best-known upper bound in a high-dimensional discrete optimization problem and deploying distributed algorithms on a 900+ core cluster. Michael has moved between academia, public sector statistical analysis, and industry roles (including data science at Bayer and software development at MultiValue Central), mentoring students and advocating inclusive pedagogy along the way. Equally comfortable writing code and publishing peer-reviewed papers, he combines deep theoretical insight with practical engineering to deliver measurable results for complex, data-driven problems.
13 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Statistics, Master of Science - MS, Statistics at University of Colorado Denver
Bachelor’s Degree, Mathematics, Bachelor’s Degree, Mathematics at Grand Valley State University
Master’s Degree, Mathematics, Master’s Degree, Mathematics at University of Montana
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Michael Phillips - Software Developer at MultiValue Central