Summary
Danielle Dewitt is a multidisciplinary performance scientist and senior software engineer with 12 years of experience blending elite endurance sport, coaching, and product-focused engineering. She has represented Team USA in lightweight single sculls, won collegiate and national titles, and now applies that athlete’s rigor as the Zagunis Family High Performance Embedded Scientist at USRowing. Her tech career spans early-stage startups and fast-growing companies (including roles at mabl and Stackdriver before its acquisition) where she led frontend, design systems, and developer experience work. Danielle pairs an MS in Sport and Exercise Physiology with a BS in Biological Systems Engineering and brings a rare combination of applied physiology, data-driven performance optimization, and hands-on software delivery. She holds coaching certifications across rowing, triathlon, cycling, and nutrition, and is especially interested in pushing human performance in extreme environments through reproducible data and tooling. Colleagues know her for translating messy physiological signals into actionable training tech and production-ready software.
12 years of coding experience
13 years of employment as a software developer
BS, Biological Systems Engineering, Concentration in Natural Resources, BS, Biological Systems Engineering, Concentration in Natural Resources at University of Wisconsin-Madison
Master of Science - MS, Sport and Exercise Physiology, Master of Science - MS, Sport and Exercise Physiology at Leeds Beckett University
High School, High School at Parkersburg High School
High School, High School at Morgan Park Academy
Graduate courses in software engineering, Graduate courses in software engineering at Harvard Extension School
English, French