Robert Settlage is a Director of Data Science with a decade of experience turning complex data and advanced ML into production AI solutions, currently leading healthcare claims repricing efforts at Claritev. He combines deep domain experience from proteomics and bioinformatics with enterprise-level HPC and cloud strategy work developed over two decades at Virginia Tech and Merck. As an educator and Nvidia Deep Learning Ambassador, he teaches statistical computing while integrating modern tooling—R, Python, Docker, Git—to make ML and HPC accessible to students and researchers. He has a track record of scaling teams and services (building a data analysis core from zero to 20+ projects) and accelerating research workflows through automation and platform evangelism. Based in Blacksburg, VA, he blends hands-on technical leadership with public-facing outreach—frequently giving workshops and hackathons to broaden community adoption of compute platforms.
10 years of coding experience
17 years of employment as a software developer
Machine Learning and Data Science, Machine Learning and Data Science at Coursera
Master of Science - MS Statistics, Master of Science - MS Statistics at Virginia Tech
California State University, Sacramento
Doctor of Philosophy (PhD) Chemistry, Doctor of Philosophy (PhD) Chemistry at University of Virginia
Contributions:3 commits, 2 pushes, 1 branch in 1 year 2 months
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