Hadi Mohammadi is a Ph.D. candidate at the Methodology and Statistics department and a Member of the M&S NLTP group and Human Data Science (HDS) lab His research interests are Explainability in Natural language processing (NLP) especially, Large Language Models (LLMs) and their applications in social science. Other research interests are Deep and Reinforcement Learning, Fairness in ML, Human Rationalizations, and Data-Driven Decision Science. Previously he received his master’s in Industrial Engineering – Macro Systems, and his thesis was about Statistical Reinforcement Learning with Application in a Dynamic Pricing Problem.