Archer Gong Zhang

I am generally interested in the theoretical and methodological sides of Statistics. My current research focuses on how to make efficient inferences when we have data collected from multiple sources, where the underlying populations are interconnected and their distributions have some common latent structure. I have been working closely on inferences under a semi-parametric model called Density Ratio Model and non-parametric methods (e.g., Empirical Likelihood). I am also interested in transfer learning and causal inference.