I will join the Florida State University Department of Computer Science as an tenure-track assistant professor in August. I am currently a post-doctoral researcher in the Department of Computer Science at UCLA under the guidance of Prof. Judea Pearl. 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.