Matteo Courthoud
Senior Applied Scientist at Zalando
Zurich, Zurich, Switzerland
Summary
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Rockstar🎓
Top SchoolMatteo Courthoud is a Senior Applied Scientist based in Zurich with nine years of experience applying causal inference and experimental design to product and policy problems. With a PhD in Economics from the University of Zurich and teaching stints at top institutions, he blends rigorous econometric training with practical engineering—building internal experiment libraries, efficient estimators for geo experiments, and tooling for AB testing at scale. At Zalando he focuses on assortment optimization, loyalty program design, and program evaluation using observational causal methods; prior roles include data science at Google and research/teaching roles that informed his simulation-driven approach. He is comfortable translating academic methods into production-ready analytics and also teaches causal inference across teams, combining scholarship with hands-on impact. An economist by training who codes like an applied scientist, he’s as likely to design a curriculum as to ship a robust estimator.
9 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Economics, Summa Cum Laude, Master of Science - MS, Economics, Summa Cum Laude at Università Commerciale 'Luigi Bocconi'Australian National UniversityExchange Program, Economics, Exchange Program, Economics at Handelshögskolan i StockholmVisiting Assistant in Research, Economics, Visiting Assistant in Research, Economics at Yale UniversityDoctor of Philosophy - PhD, Economics, Doctor of Philosophy - PhD, Economics at University of Zurich
Italian, English, French, German, Spanish
Github Skills (27)
notebook10
python10
data-science10
statistics10
machine-learning10
econometrics10
causal-inference10
economics10
jupyter-notebook10
hugo9
hugo-theme9
matlab9
wowchemy9
julia8
representation-learning8
Programming languages (8)
Github contributions (5)
matteocourthoud/Machine-Learning-for-Economic-Analysis
Sep 2020 - Feb 2022
Material for the exercise sessions of master course Machine Learning for Economic Analysis @UZH
Contributions:1 review, 165 commits, 1 PR in 1 year 5 months
machine-learningeconometricseconomicsphdpython
matteocourthoud/Phd-Industrial-Organization
Apr 2021 - Apr 2022
In this repository I collect the lecture notes and code for an advanced course in Empirical Industrial Organization. All code is written in Julia.
Contributions:29 commits, 18 pushes in 1 year
juliaindustrial-organizationphdeconomics
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