Pieter De Vlieger

Sr. Applied Scientist at Uber

San Francisco, California, United States
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Summary

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Senior
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Top School
Pieter De Vlieger is a senior applied scientist and PhD economist based in San Francisco with 13 years of experience applying econometrics, industrial organization, and labor economics to real-world marketplace problems. At Uber he designs and measures real-time driver pricing and communication systems, building spend-efficiency frameworks and integrating pricing levers into unified algorithmic models. His background includes rigorous causal inference, equilibrium modeling, and synthetic control methods from academic work at the University of Michigan, giving him a strong track record in both measurement and algorithmic decisioning. He combines hands-on engineering (Python, JS, data pipelines, D3 visualizations) with formal economic modeling, and has translated academic techniques like bunching and dynamic RD into product-facing experiments. Notably, he has experience bridging research and production—designing measurement frameworks that survive in real-time systems while influencing cross-functional product strategy.
code13 years of coding experience
job10 years of employment as a software developer
bookPhD, Economics (Econometrics, Labor Economics, Industrial Organization), PhD, Economics (Econometrics, Labor Economics, Industrial Organization) at University of Michigan
bookBusiness Engineering (Master), cum laude, Business Engineering (Master), cum laude at Katholieke Universiteit Leuven
bookMaster of Science (MSc), Economics, Distinction, Master of Science (MSc), Economics, Distinction at University College London, U. of London
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Github Skills (5)

python1
regl1
data-visualization1
agent1
visualization1

Programming languages (1)

JavaScript

Github contributions (5)

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pdevlieger/WhoSampledWho

Feb 2013 - Feb 2013

Contributions:14 commits in 9 days
pdevlieger/Principal-Agent

Feb 2013 - Feb 2013

Contributions:10 commits in 2 days
principalpythonagent
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Pieter De Vlieger - Sr. Applied Scientist at Uber