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We aim to advance understanding and predictive modeling of wind flow in urban areas through collaborative learning and research.
Our research focusses on establishing multi-scale and multi-fidelity modeling frameworks that incorporate uncertainty quantification and data assimilation, and on investigating how these tools can effectively support sustainable urban and building design.

Investigation of Peak Wind Loading on a High-Rise Building using LES
