Summary
Clayton Thorrez is a data scientist and member of the technical staff with nine years of experience building and deploying ML and NLP solutions across industry and research. He specializes in paired comparison methods for preference modeling, model evaluation, and post-training, and he applies these techniques to esports analytics, including work with EsportsBench datasets. Based in Redmond, Washington, he has held roles at Microsoft as a Data and Applied Scientist, at Apple as Senior Data Scientist, and is currently with LMArena as a Member of the Technical Staff. He combines a strong academic foundation—BSE in Computer Science and Data Science from the University of Michigan and an MS in CS from UMass Amherst—with hands-on production experience delivering scalable ML systems. His GitHub profile reflects a playful, experiment-driven approach to ML, and he contributes to open data and tooling that advance ML workflows. He turns complex preference signals into actionable insights for competitive analytics, bridging theory and real-world impact.
9 years of coding experience
8 years of employment as a software developer
Hillsdale Academy
Bachelor of Science in Engineering (BSE), Computer Science, Data Science, Bachelor of Science in Engineering (BSE), Computer Science, Data Science at University of Michigan College of Engineering
Master's of Science, Computer Science, 4.0, Master's of Science, Computer Science, 4.0 at University of Massachusetts Amherst
English