Research Interests:

• Variable selection in causal inference

• Causal inference with unmeasured confounders

• Quantile regression 

Publications:

• Tang, D., Kong, D., Pan, W., and Wang, L. (2023) Ultra-high dimensional variable selection for doubly robust causal inference. Biometrics, 79(2), 903-914. [pdf][code]

• Zhou,Y., Tang, D., Kong, D., Wang, L. (2024) The Promises of Parallel Outcomes. Biometrika, (2), 537-550. [pdf]       

• Tang, D., Kong, D., and Wang, L. (2025+) The synthetic instrument: From sparse association to sparse causation. Under revision at JRSSB. [pdf][package]

Early Career Award, the ASA Section on Statistics in Epidemiology, 2025;

Junior Researcher Award, the ICSA China, 2025

Working papers:

• Average Treatment Effect with Continuous Instrumental Variables. (with Dong, M, Liu, L, Xu, W, and Wang, L)

• Supervised functional censored quantile regression with application to mammogram data (with Jiang, S and He, X)

• A Robust Framework for Two-Sample Mendelian Randomization (with He, X, Jiang, S, and Yang, S)