Riccardo Fiorista

Riccardo Fiorista is a graduate student in transportation whose work establishes frameworks for designing future transportation systems under incomplete information and competing objectives. These systems require solving NP-hard optimization problems ranging from network design to routing and fleet deployment, often in competitive markets where operators and users lack complete information about each other. He integrates multi-agent game theory with a co-design framework grounded in category theory to model how various stakeholders respond in these opaque transportation markets and how operator strategies and user behavior co-evolve. As a MathWorks Fellow, Riccardo will develop modular simulation frameworks for mixed cooperative and competitive transportation ecosystems. These simulations could inform the planning of future transportation systems by quantifying how coordination and evolving stakeholder behavior affect equity, reliability, and resilience.