Experience

  1. Doctoral Researcher

    Faculty of Geosciences, Utrecht University

    Responsibilities include:

    • Conducting research on power dynamics and stakeholder collaboration in planning processes.
    • Developing digital planning methods using social network analysis and spatial analysis tools.
    • Contributing to the ERC-funded project Collaborative Planning in China.
  2. Teaching Assistant

    Faculty of Geosciences, Utrecht University

    Responsibilities include:

    • Mentoring students in urban research and planning courses.
    • Assisting in teaching spatial data analysis and visualization using R and Gephi.
  3. Urban Analyst and Consultant

    UrbanXYZ Technology Ltd (Smart City Company)

    Responsibilities include:

    • Supporting smart city projects with advanced urban data analytics.
    • Developing strategies for urban infrastructure and transportation planning.
    • Collaborating with local governments on smart city initiatives.
  4. Research Manager (Part-time)

    Beijing Community Research Center (NGO)

    Responsibilities include:

    • Leading public participation projects focused on urban regeneration.
    • Analyzing community-level data to support participatory planning initiatives.
  5. Urban Planner

    China Academy of Urban Planning and Design (Urban Planning Institution)

    Responsibilities include:

    • Designing urban masterplans for sustainable development.
    • Conducting field surveys and stakeholder interviews for urban regeneration projects.
    • Contributing to regional planning studies and spatial development strategies.

Education

  1. PhD in Human Geography and Spatial Planning

    Utrecht University
    Research focuses on collaborative planning, power dynamics, and digital participation, supervised by Dr. Yanliu Lin. Leveraged tools like R, Gephi, and Pajek to analyze stakeholder participation and urban data, contributing to the ERC-funded project Collaborative Planning in China.
  2. MSc in Urban Design and International Planning

    The University of Manchester

    GPA: 3.8/4.0 Courses included:

    • Urban Design and Global Challenges
    • Planning for Sustainability
    • Spatial Analysis Techniques
  3. BSc in Human Geography and Urban-Rural Planning

    Southwest University

    GPA: 3.4/4.0 Courses included:

    • Urban and Regional Development
    • Geospatial Technologies
    • Land Use Planning
Skills & Hobbies
Technical Skills
Social Network Analysis

Expertise in analyzing social networks using Gephi, Pajek, and R.

Geo-spatial Analysis

Skilled in geospatial analysis and visualization with QGIS, ArcGIS and Python.

Interpretable Machine Learning

Experience with SHAP and XGBoost to analyze urban data patterns.

Data Visualization

Proficient in creating insightful visualizations with Python, R and Tableau.

Hobbies
Photography

Capturing the essence of urban transformations and natural landscapes through the lens. I am also an Astro-photographer.

Hiking

Immersing myself in nature, especially in mountainous and remote wilderness areas.

Skiing

Enjoying the thrill of exploring natural terrains on skis.

Awards
Highly Commended Performance Dissertation Award
The University of Manchester SEED ∙ November 2018
Awarded for outstanding performance in a thesis.
Outstanding Graduate Award
Southwest University ∙ May 2017
Recognized as one of the top 10% of students achieving outstanding grades during undergraduate studies.
Outstanding Student Leaders Award
Southwest University ∙ December 2016
Awarded for leadership in student organizations during undergraduate education.
National Students’ Innovation and Entrepreneurship Training Funding
Ministry of Education, China ∙ December 2016
Secured funding for academic training in innovative and entrepreneurial projects for undergraduate students.
First Level Scholarship
Southwest University ∙ October 2016
Awarded to the top 5–10% of students in an academic year.
Second Level Scholarship
Southwest University ∙ October 2015
Awarded to the top 10–20% of students in an academic year.
Languages
100%
English
100%
Mandarin
10%
Dutch
30%
Cantonese