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Constantine E. Kontokosta

Lab Director and Associate Professor of Urban Science and Planning

Constantine E. Kontokosta

Constantine E. Kontokosta, PhD, is an Associate Professor of Urban Science and Planning and Director of the Civic Analytics Program at the Marron Institute of Urban Management at New York University (NYU). He also directs the Urban Intelligence Lab and holds faculty appointments at the NYU Center for Urban Science and Progress (CUSP) and the NYU Tandon School of Engineering.

Previously, he served on the founding NYU CUSP leadership team and designed and led one of the first graduate programs in urban science and informatics. His work has been published in PNAS, Nature Communications, and Nature Energy, among others, and he is a recipient of the NSF CAREER award, the IBM Faculty award, and best paper awards from the Journal of the American Planning Association and the Bloomberg Data for Good conference.

He holds a Ph.D., M.Phil., and M.S. from Columbia University, where he received the HUD Doctoral Dissertation Award and the Lincoln Institute’s C. Lowell Harriss Fellowship, a M.S. from New York University, and a B.S.E. from the University of Pennsylvania.

Bartosz Bończak

Research Scientist and Lab Manager

Bartosz Bończak

Bartosz is a Research Scientist and Lab Manager in the Urban Intelligence Lab. He is also a PhD candidate at NYU Tandon School of Engineering in the Urban Systems program.

Bartosz conducts innovative applied research, working with cities to take on critical challenges of urban living. He uses data science, machine learning and computational tools to derive insights from the wide array of data both publicly available and proprietary data collected by various partnering city agencies and organizations. His projects span many different domains and topics ranging from understanding building energy performance for data-driven policies to drive climate action, identifying urban mobility patterns and their interdependence with the physical infrastructure.

Bartosz received M.S. in Urban Informatics from CUSP (2015) and completed a B.S. (2009) and a M.S. (2011) in Geography with a focus on tourism from University of Lodz in his home country of Poland. Prior to joining Marron Institute he was a Research Scientist at NYU Center for Urban Science and Progress.

Boyeong Hong

Civic Analytics Fellow

Boyeong Hong

Boyeong Hong is a Postdoctoral Associate of Dr. Constantine Kontokosta’s Civic Analytics Program at the NYU Marron Institute of Urban Management. Her research interests focus on how to apply urban informatics to real world problems in urban planning and operations. Boyeong’s current work deals with predictive city analytics using Big Data and Machine Learning techniques to deliver better city services allocation in partnership with various city agencies. Additionally, she is working on the human mobility project associated with the disaster management and the urban resilience planning. Boyeong is currently an affiliated adjunct faculty at Columbia University, the Graduate School of Architecture, Planning, and Preservation, teaching a course entitled Exploring Urban Data with Machine Learning.

Boyeong earned a Ph.D. in Civil and Urban Engineering, majoring in Urban Informatics from New York University, and she holds a M.S. in Applied Urban Science and Informatics from NYU Center for Urban Science and Progress (CUSP). Previously, she worked at the Pratt Center for Community Development translating geospatial data into problem solving insight through GIS mapping and analysis. Prior to coming to the United States, She participated in various research projects related to urban planning and data analytics in Seoul, South Korea. She holds a B.Arch from Yonsei University and a Master of City Planning degree from Seoul National University.

Callie Clark

PhD Candidate

Callie Clark

Callie is a Research Fellow in the Urban Intelligence Lab and an Urban Systems PhD Candidate at NYU. Her research interests include human mobility, neighborhood dynamics, segregation, and equitable access to resources.

Callie’s current research examines segregation in activity spaces at the neighborhood level and explores how access to public infrastructure can impact diversity of social interactions. Previously, she partnered with City Harvest to evaluate Emergency Food Access in New York City from a multi-dimensional perspective.

Callie earned both a M.S. in Systems Engineering and a B.S. degree in Civil and Environmental Engineering from UC Berkeley. Prior to her M.S., she worked as a data analyst at Lawrence Berkeley National lab in the Building Technology and Urban Systems Division.

Ryan Brenner

PhD Candidate

Ryan Brenner

Ryan is a PhD candidate at NYU Tandon School of Engineering in the Urban Systems program. He also works as a data research analyst at the NYU Furman Center for Real Estate and Urban Policy and is an Urban Doctoral Fellow. Ryan's research interests include urban sustainability and climate resilience, green infrastructure, environmental justice, and public decision-making.

He obtained a Master of Science in Public Policy from NYU Wagner Graduate School of Public Service (2018), a Juris Doctorate from Michigan State University College of Law (2016), and a Bachelor of Science in Conservation Biology from Colorado State University (2013). Ryan also serves as the Chair of the Queens Solid Waste Advisory Board, a local government entity advising on Zero Waste.

Yuan Lai

Research Affiliate

Yuan Lai

Yuan Lai is an Assistant Professor in Urban Science and Planning at Tsinghua University, Department of Urban Planning. Yuan's expertise lies at the intersection of urban information, applied data science, and urban systems. He is interested in the future connection between computer science and urban planning to address the socio-technical complexities of cities.

Before Tsinghua, Yuan was a Lecturer in Urban Science and Planning at MIT Department of Urban Studies and Planning, as well as a research affiliate at NYU Marron Institute of Urban Management and NYU Center for Urban Science and Progress (CUSP). His work involves applied analytics and machine learning using large volume and variety of data related to the urban environment, population health, social media, sensing network, and economic transactions. He also practiced urban design at Safdie Architects on large-scale mixed-use development projects worldwide.

Yuan holds a Ph.D. in urban systems and informatics from NYU, a M.S. in applied urban science and informatics from NYU CUSP, as well as a Master of urban planning and a Bachelor of landscape architecture.

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