Summary
Michael Womack is a mathematics PhD student and teaching assistant at UC Irvine specializing in geometric analysis, with a research focus on Ricci flow and generalized Ricci flow. He brings a decade of quantitative experience bridging continuous and discrete differential geometry, including a Master's thesis applying discrete Ricci flow to community detection in human contact networks. His background in physics and math from the University of Oregon underpins hands-on computational work—ranging from wavelet-based climate data analysis to building optics experiments—and produces publishable code hosted publicly. At UCI he explores applications of geometric flows to mathematical finance and manufacturing, signaling a practical orientation beyond pure theory. Known for crafting original Python implementations and statistical simulation tools, he combines rigorous analysis with reproducible computational practice. Located in Irvine, he balances deep theoretical training with interdisciplinary projects that connect geometry, data, and real-world systems.
10 years of coding experience
3 years of employment as a software developer
Master of Arts - MA, Mathematics, Master of Arts - MA, Mathematics at San Francisco State University
Bachelor of Science - BS, Physics and Mathematics, Bachelor of Science - BS, Physics and Mathematics at University of Oregon
University of California, Irvine