Lu Wang is a Chinese-American biostatistician whose research topics have included causal inference, dynamic decision-making for medical treatments, missing data, and environmental health.
She came to the US for a master's degree in biostatistics at the University of Michigan in 2004, advised by Jeremy Taylor.
Chan School of Public Health, where she earned a second master's degree in 2007 and completed her Ph.D. in 2008.
[7] Her doctoral dissertation, Nonparametric and Semiparametric Regression with Missing Data, was jointly supervised by Xihong Lin and Andrea Rotnitzky.
[7] Wang was named a Fellow of the American Statistical Association in 2023,[1] "for novel contributions to missing data analysis, longitudinal data analysis, and dynamic treatment regimens for personalized health care; for outstanding interdisciplinary research; for leadership in biostatistics education and training; and for excellent service to the profession".