I devote my professional career to solving challenging urban mobility management problems. I started from developing a complex, large-scale mesoscopic vehicular traffic simulation and assignment model called DynusT for government agencies, professional firms, and academics to study various demand and supply strategies that are investment worthy. 

In recent years, I expanded my explorations from supply-side strategies to understanding how to apply incentives and motivation strategies to trigger and anchor behavior changes so that the traveling public is empowered and motivated to make a smarter travel decision in their daily commute.