Tim Au

Tim Au

Tim is a Data Science manager at Google working on the research, development, and application of methodologies and tools for causal measurement and optimization. Prior to Google, he received a BA with Distinction in Mathematics and Economics from Cornell University in 2010, and a PhD in Statistics from Duke University in 2014.

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    Google
Robust Causal Inference for Incremental Return on Ad Spend with Randomized Paired Geo Experiments
Aiyou Chen
Tim Au
Annals of Applied Statistics, 16(1) (2022), pp. 1-20
Random Forests, Decision Trees, and Categorical Predictors: The ``Absent Levels'' Problem
Timothy C. Au
Journal of Machine Learning Research, 19 (2018), pp. 1-30
A Time-Based Regression Matched Markets Approach for Designing Geo Experiments
Tim Au
Google LLC (2018)
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