What is 'Doubly Robust' Methods Really About?
Doubly robust (DR) methods allow us to leverage powerful ML models while still enabling valid statistical inference. This blog aims to clarify thei...
Wenxin Chen, 陈文鑫
PhD Student in Computer Science
I am a third-year Computer Science PhD student at Cornell University, advised by Fei Wang and Kyra Gan. My research interests lie in method development of causal inference and machine learning, and their applications in healthcare.
Prior to joining Cornell, I studied biomedical informatics at Harvard Medical School (MBI, advised by Dr.Yevgeniy Semenov) and biotechnology at Sun Yat-sen University (BS, advised by Dr.Lingling Zheng).
Publications
- MOSIC: Model-Agnostic Optimal Subgroup Identification with Multi-Constraint for Improved Reliability arXiv, 2025
- Multi-organ immune-related adverse events from immune checkpoint inhibitors and their downstream implications: a retrospective multicohort study The Lancet Oncology, 2024
- GateView: A Multi-Omics Platform for Gene Feature Analysis of Virus Receptors within Human Normal Tissues and Tumors Biomolecules, 2024
- tsRFun: a comprehensive platform for decoding human tsRNA expression, functions and prognostic value by high-throughput small RNA-Seq and CLIP-Seq data Nucleic Acids Research, 2021