Summary
Carl Ehrett is a Director of Applied Machine Learning at Clemson University with a decade of experience translating AI research into practical, compute-intensive projects using institutional HPC resources like the Palmetto Cluster. He holds advanced degrees across mathematics, statistics, and philosophy (including a PhD) and has progressed from research assistant to program co-lead and now director, mentoring undergraduates and driving multidisciplinary collaborations through the Watt AI Program. Carl combines rigorous theoretical training (4.0 GPAs) with hands-on governance of research computing, enabling teams to scale experiments from prototypes to production-ready workflows. Based in Clemson, SC, he is notable for bridging philosophical and quantitative perspectives in AI, bringing uncommon emphasis on interpretability and research ethics to applied ML initiatives.
10 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy - PhD, Mathematical and Statistical Sciences, GPA 4.0, Doctor of Philosophy - PhD, Mathematical and Statistical Sciences, GPA 4.0 at Clemson University
Master of Arts - MA, Philosophy, GPA 3.94, Master of Arts - MA, Philosophy, GPA 3.94 at University of Kentucky
Doctor of Philosophy - PhD, Philosophy, GPA 4.0, Doctor of Philosophy - PhD, Philosophy, GPA 4.0 at Northwestern University
Bachelor's degree, Philosophy, Bachelor's degree, Philosophy at Furman University