Kevin Chu is a consultant-researcher and CEO with 16 years of experience building production-quality scientific and data-driven software for industry and research clients from his California-based firm, Velexi. He combines a PhD in Applied Mathematics with practical expertise in computational science, machine learning, high-performance computing and software architecture to deliver bespoke solutions, technical reports, and open-source scientific libraries. His research contributions include the Optimal Time Step method and a Direct Matrix Method formalism, and he has released foundational tools such as LSMLIB and PSLIB that bridge theory and implementation. Kevin blends technical leadership with hands-on engineering and business management, maintaining client relationships while directing a small multidisciplinary team. An entrepreneur at heart, he has also managed investment portfolios and explores longevity and startup projects, reflecting a curiosity for practical impact beyond pure research. Colleagues describe him as someone who intentionally synthesizes ideas across domains—turning mathematical insight into robust, deployable systems.
16 years of coding experience
10 years of employment as a software developer
High School Diploma, High School Diploma at Illinois Mathematics and Science Academy
PhD Applied Mathematics, PhD Applied Mathematics at Massachusetts Institute of Technology
MS Scientific Computing & Computational Math, MS Scientific Computing & Computational Math at Stanford University
Contributions:24 releases, 33 PRs, 94 pushes in 3 years 3 months
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Kevin Chu - Consultant Researcher CEO at Velexi Research