About

For more about my background and experience, see: Curriculum Vitae

Bio

My research interests span 3D city modeling and simulation, built environment analysis, and social sensing for urban mobility behavior analysis. Recently, I have worked on teacher–student pipelines that combine ENVI-met simulations and explainable ML to derive design-ready guidance for street-tree configurations, and on a Spatial LLM that maps natural language to spatial reasoning on indoor point clouds.

Education

Delft University of Technology (TU Delft), Netherlands
Sep 2024 – Present
Faculty of Architecture and Built Environments
MSc Geomatics
Shaanxi Normal University (SNNU), China
Sep 2020 – Jun 2024
School of Geography and Tourism
BSc Geographical Sciences

Research Experience

AI4DCity Lab, The Hong Kong University of Science and Technology-Guangzhou, China · Research Assistant

Jul 2025 – Present

Mentor: Asst.Prof. Wufan Zhao

Research on environment simulation, e.g., micro‑climate simulation of 3D urban models.
Develop algorithms for tree inventory, attribute extraction, and species labelling from street‑view images.

School of Humanities and Social Science, The Chinese University of Hong Kong‑Shenzhen, China · Research Assistant

Jun 2024 – Oct 2024

Mentor: Asst.Prof. Shuli Luo

Crawling, processing, and semantic analysis of social media data on Shenzhen Metro.
Spatial querying and processing of mobile signalling data and map service API POI data.
Literature reviews on LLM applications in transit service, travel satisfaction, and urban planning.

Northwest Land and Resource Research Centre, SNNU, China · Research Assistant

Sep 2023 – Nov 2023

Mentor: Prof. Tao Li

Mapping and preprocessing of road network datasets; calculating OD time‑cost matrices.
Contributed to authored funding applications about intercity mobility volatility studies.
Literature review on seasonality, intra‑week, and holiday patterns in intercity mobility fluctuations.

Skills

Programming: Python (OpenCV, PyTorch), C++ (CGAL, Eigen, PCL)
Tools: ArcGIS Pro, QGIS, OpenFOAM, MySQL, Blender, Adobe Premiere Pro, Final Cut Pro
Language: IELTS 7.0 (L7.5, R7.5, S7.0, W6.5)

Awards

2023 Fall — Special Award Fund for Foreign Language Examinations of SNNU (First Prize)
2023 Fall — Outstanding Student of SNNU (Third-class Scholarship, Top 20%)
2021 Fall — Outstanding Student of SNNU (Third-class Scholarship, Top 20%)