I am an Assistant Professor of Urban and Regional Planning at Taubman College of Architecture & Urban Planning, University of Michigan - Ann Arbor. I am also affiliated with Michigan Institute for Data & AI in Society, UM Center for the Study of Complex Systems, and Science, Technology, and Public Policy Program. The networks and technologies that shape cities are never neutral. Network infrastructure connects some places and people while dividing others. AI systems can extend planners’ capacity or pose new challenges to it. Both create hidden costs, tradeoffs, and governance gaps that conventional planning tools often miss. My research makes these effects visible, develops methods to measure them, and builds knowledge that helps planners act on them.

My work currently develops along two connected themes:

1. Urban Networks examines how mobility, social, and digital infrastructures create uneven patterns of connectivity across places, scales, and users, such as how an airport can create local mobility barriers, how transit accessibility varies across users, and how expansion of subway systems can come at the cost of existing social networks.

2. Urban AI examines how AI is changing planning both as a tool and as an infrastructure to govern. My work develops planning-centered approaches to AI, including computational methods for making zoning more accessible and comparable, while also studying how planners can govern the land-use and infrastructure impacts of emerging technologies such as data centers.