I devote my professional career to solving challenging urban mobility management problems, balancing my time between academic research and applied technology at Metropia. My journey started in the academic sector, developing a complex, large-scale mesoscopic vehicular traffic simulation and assignment model called DynusT. This tool continues to help government agencies, professional firms, and academics study investment-worthy supply and demand strategies. Over the last decade, through my work at Metropia, I have expanded these explorations from supply-side modeling to active, demand-side solutions. By applying incentives and motivational strategies in the real world, my goal is to anchor behavior change that empowers the traveling public to make smarter travel decisions during their daily commutes.