Ang Li

Research

My primary research area is causal inference, artificial intelligence, and causality-based decision-making, with a focus on building causal models that estimate treatment effects (interventions) and evaluating what would have happened if an individual had taken a treatment (counterfactuals). Additionally, I am passionate about decision-making modeling that incorporates knowledge of treatment effects and counterfactuals, as well as the use of causal-loss functions in machine learning models.