Christopher Boon is a data analyst with 12 years of technical experience who blends rigorous mathematical modeling and machine learning to turn complex datasets into actionable insights. He began his career in interdisciplinary research modeling breast cancer cell migration with PDEs and later built image-recognition models for identifying pathogenic yeasts from microscope photos. Now at Epsilon and pursuing a master's in Computer Science at Georgia Tech, he focuses on analytics that support sustainability, ecology, and food security. An inquisitive field scientist in his spare time, he maps local fungi and fauna and still enjoys sketching out mathematical proofs over coffee—an uncommon combination that fuels both his curiosity and practical problem solving.
11 years of coding experience
Master's degree, Computer Science, Master's degree, Computer Science at Georgia Institute of Technology
Bachelor of Science - BS, Applied Mathematics, Bachelor of Science - BS, Applied Mathematics at Kennesaw State University
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