Modeling the moving city.

I'm a Ph.D. candidate in Transportation Engineering at the University of Washington, where I build models that help cities plan for what's coming: megawatt-class charging corridors for electric trucks, synthetic populations that age and evolve over decades, and experiments that nudge how people actually ride, drive, and choose.

My work sits at the intersection of optimization, econometrics, and machine learning. At the Puget Sound Regional Council I built an AI-driven pipeline that mapped zoning codes across all 80+ jurisdictions in the region for the Future Land Use project, cleaned Household Travel Survey data, analyzed regional EV ownership, and helped bring the SoundCast ActivitySim vehicle-ownership model to the region. Next, I'm joining the City of Kenmore as a Traffic & Data Engineer Intern.

Before Seattle, I earned an M.Sc. at Sharif University of Technology (ranked 1st in my class) and a B.Sc. at Kharazmi University. When the light gets good, you'll usually find me somewhere around Puget Sound with a camera.