Research Interests

My research interests focus on developing statistical tools for robust causal inference and data-driven decision-making in social and biomedical sciences. Specifically, I have been working on

Working Papers and Publications

Safe Policy Learning under Regression Discontinuity Designs
Yi Zhang, Eli Ben-Michael, Kosuke Imai. (2022)
2023 American Statistical Association Student Paper Award in Social Statistics Section

Heterogeneous Causal Effect Estimation in Underrepresented Populations: Federated and Transfer Learning Approaches
Larry Han, Yi Zhang, Rui Duan.
In preparation, 2023

Augmented Transfer Regression Learning with Semi-non-parametric Nuisance Models
Molei Liu*, Yi Zhang*, Katherine P Liao, Tianxi Cai. (2022)
Journal of Machine Learning Research (accepted with minor revisions), 2023

Double/Debiased Machine Learning for Logistic Partially Linear Model
Molei Liu*, Yi Zhang*, Doudou Zhou*. (2020)
The Econometrics Journal, 2021

*: The authors contributed equally to this work or are listed in alphabetic order.