
Tanya Tsui
Institute of Environmental Sciences (CML) at Leiden UniversityInstitute of Environmental Sciences (CML) at Leiden University | |
Delft, Netherlands | |
Member ID | 5005 |
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Member since | Jul 07, 2025 |
Status | Active |
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About
Postdoctoral researcher specializing in spatial data science for circular economy and urban sustainability. Passionate about integrating geospatial analysis with material flow studies to support sustainable regional development.Details
I am currently a postdoctoral researcher at Leiden University’s Institute of Environmental Sciences (CML), where I develop frameworks combining prospective life cycle assessment (LCA) and dynamic material flow analysis (MFA) to assess biobased building products. Previously, I was a postdoctoral research fellow at MIT Senseable City Amsterdam, where I analyzed embodied and operational emissions in the Dutch housing sector.My PhD in Urbanism from Delft University of Technology focused on spatial approaches to the circular economy, including spatial optimization of circular hubs and agent-based modeling of circular construction logistics. I’ve contributed to EU Horizon projects on circular maker spaces and advised industry partners like TNO on modeling circular hubs in Amsterdam.
I’ve published in journals such as npj Urban Sustainability, Circular Economy and Sustainability, and Frontiers in Built Environment, and presented my research at international conferences including ISIE-SEM and the AMS Reinventing Cities Conference.
I’m skilled in Python, R, PostGIS, and QGIS, and I supervise master’s research projects on topics like paludiculture and circular construction. I’m passionate about advancing spatial methodologies to support sustainable and circular regional development.
Research Interests
Circular economy and citiesUrban metabolism
Spatial analysis and GIS
Dynamic material flow analysis (MFA)
Prospective life cycle assessment (LCA)
Circular construction hubs and logistics
Spatial optimization for sustainable infrastructure
Waste reuse and clustering analysis