Summary
Scott Kolodziej is a Senior Quantitative Developer with 12 years of scientific computing and optimization experience and more than three years in quantitative trading at Quantlab Group. He holds a Ph.D. in Computer Science and a strong chemical engineering background, combining rigorous research (conference and journal publications) with production-grade software engineering. Scott has built high-performance graph and optimization tooling—publishing novel algorithms, shipping an open-source partitioning library, and doubling speed on large social graphs—while also teaching and designing software engineering coursework for non-CS researchers. His career spans academia, industry, and energy sector modeling, giving him a rare blend of optimization theory, numerical implementation, and domain pragmatism. Comfortable leading experiments and teams, he has run IRB-approved human-subject studies and applied modern engineering practices (CI, static/dynamic analysis) to legacy codebases. Based in Cypress, Texas, he pairs deep algorithmic insight with a practical drive to turn research prototypes into reliable, high-performance systems.
12 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at Texas A&M University
Master of Science Chemical Engineering, Master of Science Chemical Engineering at Carnegie Mellon University
English