Pedro Sant'anna
Amazon Scholar at Emory University Department of Economics
Atlanta Metropolitan Area United States
Summary
👤
Senior🎓
Top SchoolPedro Sant'anna is an econometrician and applied causal-inference researcher with nine years of industry and academic experience, currently split between an Amazon Scholar role and an associate professorship at Emory University. He develops data-adaptive machine learning methods for causal problems, with recent work deepening theoretical and practical understanding of Difference-in-Differences approaches used to evaluate real-world interventions. Pedro has translated that expertise into product-impacting work at Microsoft and Amazon, applying and proposing new causal tools to business questions affecting millions of customers. Trained with a Ph.D. in Economics from Universidad Carlos III de Madrid, he blends rigorous econometric theory with hands-on implementation in large-scale tech settings, often tackling identification challenges that standard methods miss.
9 years of coding experience
8 years of employment as a software developer
Charles III University of Madrid (Universidad Carlos III de Madrid)Undergraduate, Economics, Undergraduate, Economics at IbmecETFG
Github Skills (20)
statistics10
interpretable-machine-learning10
linear-models10
test-data9
quality-assurance9
specification9
regression-models9
causal8
causal-inference6
inference4
r-language3
stata3
r-programming3
missing-data3
r-package3
Programming languages (6)
Github contributions (5)
pedrohcgs/IPS
Nov 2019 - Nov 2021
Contributions:12 commits, 15 pushes in 2 years
pedrohcgs/KMDR-replication
Apr 2021 - Mar 2022
Contributions:23 commits, 11 pushes in 10 months
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