Coming from a background in neuroscience and physics, my work is focused on two interconnected areas. Firstly, I explore the use of machine learning and other analytical techniques to understand how dopamine signaling in the brain influences behavior. Secondly, I am involved in developing reinforcement learning algorithms, aiming to both interpret empirical data and provide theoretical bases for future predictions. My approach integrates principles from both neuroscience and computational theory, aiming to advance our understanding in these fields.