Pedro Amaral, PhD

Fellow, Center for Spatial Data Science
Associate Professor, Department of Economics (Cedeplar/FACE), Universidade Federal de Minas Gerais, Brazil

Pedro Amaral is Associate Professor at the Department of Economics at Universidade Federal de Minas Gerais, Brazil. He is Chair of the Latin America Division of Regional Studies Association (RSA) and Deputy Secretary of the Brazilian National Association of Graduate Studies and Research in Urban and Regional Planning (ANPUR).

Pedro Amaral

Daniel Arribas-Bel, Ph.D.

Fellow, Center for Spatial Data Science
Lecturer in Geographic Data Science, Department of Geography and Planning, University of Liverpool (UK)

Dani Arribas-Bel is Lecturer in Geographic Data Science and member of the Geographic Data Science Lab at the University of Liverpool (UK). Dani regularly teaches Geographic Data Science and Python courses at the University of Liverpool and has designed and developed several workshops at different levels on spatial analysis and econometrics, Python and open source scientific computing.


Kevin Credit, Ph.D.

Fellow, Center for Spatial Data Science
Lecturer, National Centre for Geocomputation, Maynooth University in Ireland

Kevin Credit is a Lecturer at the National Centre for Geocomputation at Maynooth University in Ireland. Kevin’s work is broadly interested in better understanding how planning policy influences sustainable economic development outcomes, such as entrepreneurship. His dissertation research looks specifically at the impact of public transit investments on the spatial distribution of new businesses, as well as the relationship between walkable land use patterns (including elements such as block size, density, and land use diversity) and business sales volume.


Girum Dagnachew Abate, Ph.D.

Fellow, Center for Spatial Data Science
Economist, The World Bank Group, Washington, DC

Girum Dagnachew Abate is an Economist at the World Bank Group in Washington, DC. His current research interests include macro-financial linkages, macromonomeric modeling, economic growth and applied econometrics.

Girum Dagnachew Abate

Dylan Halpern, M.S.

Fellow, Center for Spatial Data Science
Technical Lead, Open Spatial Lab at the Data Science Institute

Dylan Halpern is the Technical Lead for the Open Spatial Lab at the Data Science Institute. He used to work as the Senior Software Engineer for the US Covid Atlas at CSDS and Herop. Utilizing methods of geospatial data analytics, visualization, and web development, he works in domains of public health, urban experience and activity, and transit. He holds a Master in City Planning from MIT, and previous positions include research roles with MIT Senseable City Lab, Civic Data Design Lab, and City Form Lab, and a Fulbright research fellowship in Brazil. 


Marynia Kolak, Ph.D.

Fellow, Center for Spatial Data Science
Assistant Professor in the Department of Geography and GiScience at the University of Illinois, Urbana-Champaign

Marynia A. Kolak is an Assistant Professor in the Department of Geography and Geographic Information Science at the University of Illinois at Urbana-Champaign. She investigates issues of equity across space and time using applied spatial econometrics and statistics with policy-driven, systems-integrating solutions. Her current research intersects domains of food access, public health, and housing.


Stuart Lynn, PhD

Fellow, Center for Spatial Data Science

Stuart Lynn is a Research Director and Senior Principal Software Engineer at the Center. His interests include widening the participation in scientific discussion and inquiry to non-traditional communities through the development of tools and active participation in citizen science and collaborative processes. He holds a Master in Mathematical Physics and a PHD in Astrophysics from the University of Edinburgh. In previous roles he has worked with non-profits and NGOs with the Two Sigma Data Clinic, lead the Data Science team at CARTO and was the technical lead for the citizen science platform The Zooniverse.


Robert Manduca, PhD

Fellow, Center for Spatial Data Science
Assistant Professor in Sociology at the University of Michigan -- Ann Arbor

Robert is an Assistant Professor in Sociology at the University of Michigan -- Ann Arbor. He received his PhD in Sociology and Social Policy from Harvard University. His research focuses on the economic outcomes of people and places: why some cities and regions do well while others do poorly, and when individuals are and are not able to benefit from economic growth. Before starting his PhD he completed a Masters in City Planning and worked as a consultant on fair lending regulation.

Robert Manduca

Susan Paykin, M.P.P.

Fellow, Center for Spatial Data Science
Program Lead, Open Spatial Lab at the Data Science Institute

Susan Paykin is the Program Lead at the Data Science Institute's Open Spatial Lab. She used to work as the Research Manager with the Healthy Regions and Policies Lab at the Center for Spatial Data Science. Her work integrates GIS and spatial analysis with public policy research, with a focus on public health, economic justice, and sustainable food systems. She holds an M.P.P. from UChicago's Harris School of Public Policy. 


Elizabeth Tung, MD, MS

Fellow, Center for Spatial Data Science
Instructor of Medicine, UChicago Medicine

Dr. Tung’s research focuses on disparities in chronic disease management, with a special interest in race, place, and poverty. She has participated in community-based strategies to improve chronic disease management in East St. Louis, Chinatown New York, and West Providence, in addition to her work on the South Side of Chicago. These experiences have led to a vested interest in addressing the social determinants of health and a commitment to eradicating health disparities. Her current research focuses on two main areas of inquiry. First, Dr. Tung is examining the relationships between race, poverty, and access to healthcare in adults with chronic disease, and has published on topics such as bypassing healthy resources, implicit bias, and retail redlining. Second, Dr. Tung is examining the intersection between community violence and chronic disease, and is applying geospatial analytical tools to bridge the worlds of violence epidemiology and health.

Elizabeth Tung

Levi John Wolf, Ph.D.

Fellow, Center for Spatial Data Science
Lecturer in Quantitative Human Geography, University of Bristol

Levi John Wolf, PhD is a Fellow at the Center for Spatial Data Science and a Lecturer in Quantitatve Human Geography at the University of Bristol. He is a quantitative social scientist, using spatial statistics and computation to make sense of US politics, economics, and social dynamics.