Summary
Craig Gin is a data scientist with eight years of experience blending advanced mathematics and machine learning to solve real-world problems, currently building data products at src | ftbl. He holds a PhD in Mathematics and transitioned from academic research—developing robust ML methods for microbiome data and crafting deep learning models that learn linearizing transformations for PDEs—to applied data science. A two-time Boeing Teaching Award winner, he pairs strong communication and pedagogy with hands-on expertise in Python, R, MATLAB, TensorFlow, and scikit-learn. His work reflects a rare mix of theoretical depth from fluid dynamics and practical reproducibility, with publications and code available via Google Scholar and GitHub for those who want to dig deeper.
8 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Mathematics, Doctor of Philosophy - PhD, Mathematics at Texas A&M University
Bachelor of Arts - BA, Mathematics, Bachelor of Arts - BA, Mathematics at Messiah University