Erik Ellis is an R&D mathematician and seasoned software engineer with 27 years of experience applying mathematics, statistics, and modern software practices to complex science and engineering problems at Sandia National Laboratories. He has led critical satellite ground-station software (PONG) through language migrations and major redesigns, built tools that saved thousands of test hours, and translated domain expertise into robust, maintainable systems. Comfortable mentoring teams and bridging gaps between subject-matter experts and software best practices, Erik thrives on mastering new technical domains and delivering practical, high-impact solutions. His background spans academic degrees in mathematics, statistics, and computer engineering, and a career that includes reliability and sensor-coverage algorithm work at NASA and research software for environmental and visualization applications. An oft-overlooked strength is his blend of deep theoretical insight with pragmatic tooling—whether automating large test campaigns or refactoring legacy code for long-term operations.
27 years of coding experience
24 years of employment as a software developer
MS, Statistics, MS, Statistics at University of Wisconsin-Madison
Master of Science (MS), Computer Engineering, Master of Science (MS), Computer Engineering at The University of New Mexico
Bachelor of Science (BS), Mathematics, Bachelor of Science (BS), Mathematics at Purdue University
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