Daniel Suh is a former Doctoral Student in the Department of City and Regional Planning at PennDesign, and is now a Data Scientist for Nike's Consumer Data Analytics Team. He has a BA degree in Economics from Brandeis University and a Master of City and Regional Planning Degree from the University of Pennsylvania. He worked in financial services industry before following his calling to be a transportation planner. He interned at Delaware Valley Regional Planning Commission (DVRPC) as a Long-Range Planning intern where he analyzed the region’s economic development strategy and transportation infrastructure needs. He also worked as an Airport Planning intern at AECOM where he learned airport master planning process as well as analyzing airport operations and funding levels. His research interests include air transportation infrastructure planning in the highly stochastic environment, adaptive re-use of transportation infrastructure, and integrating optimization and systems thinking into the traditional paradigms of planning. He enjoys applying his analytical and technical skills to complex transportation system issues that could generate insightful planning and policy implications. He believes that a truly effective transportation planning happens at the intersection of technical and planning knowledge with focus on applied research that benefits both practitioners and policymakers.