Quentin Caudron is a Head of Data Science with 12+ years blending machine learning, mathematical biology, and cloud-native engineering to deliver practical, high-impact analytics. He has a PhD in Complexity Science and a track record of scaling teams and systems—from automating agronomic ML that increased data resolution 1,000x and cut AWS costs by 83%, to production spatial models that improved yield forecasts by 21% RMSE. Quentin excels at translating scientific methods into production pipelines, building self-service tools and serverless architectures that democratize analysis across R&D and operations. He’s noted for mentoring scientists into cloud-certified practitioners and for founding internal forums that break down silos and raise engineering standards. Based in Tacoma, WA, he brings a rare combination of academic rigor, domain expertise in biological and agricultural data, and hands-on delivery of production ML.
12 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (PhD) Complexity Science and Computer Science, Doctor of Philosophy (PhD) Complexity Science and Computer Science at University of Warwick
International Baccalaureate, International Baccalaureate at British International School of Moscow
Contributions:90 pushes, 2 branches in 2 years 9 months
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