Greg Colvin is a veteran systems and virtual machine engineer who blends a PhD in quantitative psychology with decades of low-level systems, compiler, and blockchain work. As Head of Virtual Machines at HyperCycle.ai and former Algorand researcher, he designs VM architectures for secure, verifiable computation and helped coauthor EVM improvements such as EIP-615 and EIP-2315. His background includes optimizing the JVM inside Oracle, long service on the C++ standards committee, and early work on graph databases that seeded today’s knowledge graph efforts. An active contributor to the ethereum/EIPs repository, he focuses on build and CI robustness that keeps protocol tooling reliable. Based in Salida, Colorado, he thrives on challenging, state-of-the-art projects and brings an uncommon mix of formal academic training and hands-on systems craftsmanship.
10 years of coding experience
13 years of employment as a software developer
Physics Psychology History Philoshophy, Physics Psychology History Philoshophy at Centre College
Ph.D. Quantitative Psychology, Ph.D. Quantitative Psychology at Cornell University
B.A. Psychology Computer Science, B.A. Psychology Computer Science at University of Colorado Boulder
Contributions:134 reviews, 223 commits, 295 PRs in 5 years 10 months
Contributions summary:Greg primarily focused on maintaining and improving the build and testing infrastructure for the Ethereum Improvement Proposals repository. Their contributions included updates to the `.travis-ci.sh` file, which configures the continuous integration process. These changes involved modifications to HTMLProofer configurations, the eip_validator script, and other build-related tasks. These changes directly impacted the automated validation and build processes of the project.
Contributions:4 PRs, 5 pushes, 4 branches in 4 years 3 months
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