Casual Inference in Complex Medical and Public Health Scenarios with Xiaohua (Andrew) Zhou, PhD

In this talk, Dr. Zhou will introduce some new mathematical and statistical methods for causal statistical inference in complex scenarios. Specifically, he will first discuss the causal learning methods for recommendation systems, then discuss the methods for making causal learning when the outcome has a network structure. Next, he will discuss the methods for dealing with interference in causal learning, as well as how to make causal inference with intercurrent events. Finally, he will introduce some causal inference methods in large language models (LLM).