Human Understanding in Mobility and Automation in Networks (HUMAN) Lab at UCLA investigates the principles of network systems that interact with human and emergent decision-making challenges. I envision an autonomous decision-making that incorporates multiple transportation modes and reconciles conflicting interests of stakeholders. By implementing a coordinated mobility system, we can achieve better societal goals, such as enhanced accessibility and equity, reduced congestion and emissions, and improved user satisfaction. Methodologically, I am interested in network optimization, econometric choice modeling, deep/reinforcement learning, and game theory.