I am currently a PhD student in Stanford ICME, advised by Vasilis Syrgkanis. Prior to joining Stanford, I received by Bachelors degree in Mathematics and Bioengineering from UCLA. I am broadly insterested in the intersection of machine learning and causal inference.

Publications

Lin, Shiangyi, Hui Lan, and Vasilis Syrgkanis. “Learning Treatment Representations for Downstream Instrumental Variable Regression.” paper

Lan, Hui, Haoge Chang, Eleanor Dillon, and Vasilis Syrgkanis. “A Meta-learner for Heterogeneous Effects in Difference-in-Differences.” paper

Li, Zihao, Hui Lan, Vasilis Syrgkanis, Mengdi Wang, and Masatoshi Uehara. “Regularized deepiv with model selection.” paper

Lan, Hui, and Vasilis Syrgkanis. “Causal Q-Aggregation for CATE Model Selection.” paper

* Equal Contribution

Teaching

• Course Assistant for Applied Causal Inference with Machine Learning and AI (MS&E 228, Stanford)