Rose Tan is a Staff Data Scientist with nine years of experience applying causal inference and market-design thinking to drive product and business strategy across major tech platforms. With a PhD in Economics from Stanford and roles spanning LinkedIn, Facebook, Quora, and the Federal Reserve Bank of New York, she bridges academic rigor and production ML—specializing in heterogeneous treatment effects, Double Machine Learning, and complex experiments with interference. She co-founded and led Marketplace Science AI at LinkedIn, collaborates closely with ML engineers and product teams, and excels at translating technical findings for leadership and cross-functional stakeholders. An active community builder and communicator, she publishes a newsletter "An Economist in Tech" and organizes the Economists in Tech group, signaling a commitment to shaping the practice as well as the results.
9 years of coding experience
4 years of employment as a software developer
Bachelor of Arts (B.A.) Economics, Bachelor of Arts (B.A.) Economics at Yale University
Doctor of Philosophy (PhD) Economics, Doctor of Philosophy (PhD) Economics at Stanford University
Contributions:8 PRs, 15 pushes, 8 branches in 1 year 1 month
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Rose Tan - Visiting Scholar at Stanford University