Graham Tierney
Data Scientist
Irvine, California, United States
Summary
👤
Senior🎓
Top SchoolGraham Tierney is a data scientist with nine years of experience specializing in causal inference and statistical machine learning, currently measuring complex causal effects at Netflix. He combines rigorous Bayesian and time-series training from a Duke PhD with practical experience deploying high-dimensional forecasting and interference-aware methods in industry and experimental settings. His research spans causal text analysis of political conversations, temporal dynamics of retail interventions, and estimating price-change impacts on subscriber lifetime value, with publications in both statistics journals and ML conferences. Beyond standard modeling, he has built experimental testbeds and used generative text interventions to study misinformation dynamics, showing an ability to translate theory into operational systems. Based in Irvine, California, he bridges academic rigor and product-focused impact across media, public policy, and retail domains.
8 years of coding experience
Doctor of Philosophy - PhD, Statistics, Doctor of Philosophy - PhD, Statistics at Duke UniversityCarleton CollegeProgramming languages (1)
Github contributions (5)
g-tierney/stldac_dcc
Jul 2020 - Mar 2023
Contributions:113 pushes, 1 branch in 2 years 9 months
g-tierney/g-tierney.github.io
May 2018 - Sep 2022
Contributions:49 pushes, 1 branch in 4 years 5 months
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