Xiang Meng
Researcher in Causal Inference
Recent News
- Aug 2026 "Efficient and Debiased Learning of Average Hazards Under Non-Proportional Hazards" — Joint Statistical Meetings (JSM), Boston, MA
- Jul 2026 Poster accepted: Meng, X., Smith, A. ScoreCausal: Learning the Causal Embedding Directly via Score-Ratio Dimension Reduction. STAI-X Conference Poster Track.
- Jul 2026 CSM paper accepted at Political Analysis.
- Jul 2026 "A Cosine-Projection Framework for Choosing Among Cox HR, D-RMST, and Average-Hazard Tests in Survival Trials" — CompBio Seminar, Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), Abu Dhabi, UAE
- Jul 2026 "A Cosine-Projection Framework for Choosing Among Cox HR, D-RMST, and Average-Hazard Tests in Survival Trials" — International Biometrics Society (IBC), Seoul, South Korea
- Jul 2026 "A Cosine-Projection Framework for Choosing Among Cox HR, D-RMST, and Average-Hazard Tests in Survival Trials" — Tokyo Medical University, Tokyo, Japan
- Jun 2026 Awarded the Rose Travel Fellowship, Department of Epidemiology, Harvard School of Public Health.
- May 2026 "Efficient and Debiased Learning of Average Hazards Under Non-Proportional Hazards" — American Causal Inference Conference (ACIC), Salt Lake City, UT
- Apr 2026 "Simple and Reliable Inference for Matching Estimators" — Seoul National University (SNU) Statistics Seminar, Cambridge, MA