My research interests are in causal inference, randomized clinical trials, clustered data and their interactions with infectious disease research. In my research, data analysis is the core, and I use semi-parametric models and machine learning algorithms to draw statistical inference, make predictions, and quantify uncertainties.
Bingkai Wang
Assistant Professor, Biostatistics, School of Public Health
Causal inference, machine learning, and statistical analysis for infectious diseases
COntact
WebsiteLocation
Ann Arbor
Methodologies
Causal Inference / Data Integration / Machine Learning / Mathematical and Statistical Modeling / Statistics
Applications