Luke Reding is a Senior Manager in Data Science with 11 years of experience applying machine learning, model risk management, and decision systems across fintech and research settings. He builds and scales production ML infrastructure and governance—having led model infrastructure and always-on experimentation platforms that saved ~$60M annually—and now focuses on model risk at Capital One. Comfortable bridging research and product, he combines a PhD in computational ethology with hands-on engineering (Argo, Spark, Kubernetes) to deliver auditable, well-documented models. He’s led cross-functional teams at Upstart and Capital One to expand access to fairer credit products while mentoring data scientists and shaping platform standards. Notably, his background in biology-driven experimentation informs a data-centric approach to model interpretability and robust decisioning.
11 years of coding experience
12 years of employment as a software developer
PhD integrative biology computational ethology, PhD integrative biology computational ethology at The University of Texas at Austin
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