Shubhayan Ukil
Urban and Regional Planning
Ph.D. in Urban and Regional Planning
He primarily takes a quantitative approach to raw causal inferences using statistical and Data Science methods to analyze travel choices. He has recently completed a Graduate Data Science Certificate program from the Michigan Institute for Data Science. He is also currently working on a pedestrian and bike count modeling project using crowdsourced data for the Michigan Department of Transportation to understand the utility of emerging data modes for forecasting.
Before beginning his doctorate education, he worked for three years in India and the United States, including consulting, academic organizations, and Think Tank. Most recently, he worked with the World Resources Institute, in India as a Transportation Analyst on areas of shared mobility, transportation accessibility, and integrated transportation system. The diverse experience has shaped his research interests to conduct action-oriented research to guide policymaking. He holds a Master’s degree in Urban Planning and Policy from the University of Illinois, Chicago, and an undergraduate degree in Planning from the School of Planning and Architecture, Vijayawada, India.