I am an tenure-track assistant professor at the Florida State University Department of Computer Science. My primary research areas include causal inference, artificial intelligence, and causality-based decision-making, with a focus on building causal models that estimate the effects of treatments (interventions) and evaluate what would have happened if an individual had received a specific treatment (counterfactuals). Additionally, I am passionate about modeling decision-making that incorporates knowledge of treatment effects and counterfactuals, as well as the application of causal-loss functions in machine learning models.