Summary
Kendrick Boyd is a senior manager and research leader with 14 years of experience at the intersection of software engineering, machine learning, and data science, currently leading research staff at NVIDIA. He holds a PhD from the University of Wisconsin–Madison where his thesis advanced ML evaluation by probing precision-recall and ROC properties, and his work spans statistical relational learning, unsupervised and semi-supervised methods, and principled experiment design. Kendrick has driven machine learning product and platform work at Gretel.ai and Google, blending rigorous research with production engineering to make data-driven systems both reliable and interpretable. Based in Boulder, he pairs academic depth with hands-on systems experience—from building clusters and storage experiments as an undergrad to shipping ML tooling in industry—and often focuses on evaluation metrics and privacy-aware evaluation that are easy to overlook but critical for trustworthy models.
14 years of coding experience
16 years of employment as a software developer
Doctor of Philosophy (PhD) Computer Sciences, Doctor of Philosophy (PhD) Computer Sciences at University of Wisconsin-Madison
Bachelor of Arts Math-Computer Science, Bachelor of Arts Math-Computer Science at Lawrence University
Buena Vista High School