Caleb Ju is a PhD candidate in Operations Research at Georgia Tech with nine years of software and research experience bridging academic rigor and production engineering. He has contributed as a visiting researcher at national labs including Berkeley Lab, NREL, and Argonne, applying computational methods to large-scale energy and scientific data problems. Caleb also brings industry experience from a software engineering internship at Fivetran, giving him practical fluency in building reliable data systems. His background in mathematics and computer science from UIUC complements a research focus that translates optimization and modeling into scalable solutions. Notably, his profile and personal site indicate an active effort to communicate research and code, reflecting a blend of technical depth and outreach. Based in Atlanta, he combines lab-scale scientific collaborations with hands-on software development to tackle complex, data-intensive challenges.
9 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Operations Research, Doctor of Philosophy - PhD, Operations Research at Georgia Institute of Technology
A Python module for generating fast bilinear algorithms for different convolution algorithms
Contributions:18 commits, 18 pushes, 1 branch in 1 year
convolutionpython-modules
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.