I am a data scientist at Google working on ads measurement. Prior to Google I worked as a postdoctoral scholar in the Computational Marketing Lab of Stanford Graduate School of Business. I received my Ph.D. in Economics from UC Berkeley in 2021.
My interests include:
Ads Measurement,
Causal Inference,
Digital Marketing,
Data Privacy,
Econometric Theory.
Email: fengshiniu@gmail.com
CV: Link
LinkedIn: Link
Publications
Georege Gui, Harikesh Nair, Fengshi Niu
ACM conference on Economics and Computation (EC), 2022
Bryan Graham, Fengshi Niu, James Powell
Journal of Econometrics, 2022
Differentially Private Estimation of Heterogeneous Causal Effects
Fengshi Niu, Harsha Nori, Brian Quistoff, Rich Caruana, Donald Ngwe, Aadharsh Kannan
Conference on Causal Learning and Reasoning (CLeaR), 2022, Oral presentation
Fengshi Niu
Ph.D. Dissertation, 2021
Working Papers
Bryan Graham, Fengshi Niu, James Powell
Revision requested by Econometric Theory, 2021
Chang Liu, Fengshi Niu, Alexander White
Revision requested by Journal of Economics & Management Strategy, 2021