Welcome to the Yang Lab at Tsinghua University, Beijing, China

lab photo

The Yang Lab is committed to promoting urban sustainability and livability through comprehensive ecological research. By integrating field work with AI, big data, and remote sensing, we investigate the intricate interactions between constructed environments and natural systems across four principal themes.

1. Urban Ecosysystem Structure and Functions

We examine the manner in which the physical and socio-economic composition of urban areas interacts with ecological processes.

  • Example works: Analyzing the ecological, social, and economic impacts of urbanization and mapping the relationship between urban carbon emission and land use/land cover change.

2. Urban Ecosystem Services and Human Well-being

Our research quantifies the tangible benefits that nature provides to city dwellers.

  • Example works: Assessing the role of urban green infrastructure in climate regulation and its impacts on human health and overall well-being.

3. Urban Biodiversity

We utilize cutting-edge technology to monitor and protect biodiversity in human-dominated landscapes.

  • Example works: Applying AI and urban remote sensing to track urban biodiversity and developing policies and tools essential for urban biodiversity conservation.

4. Nature-Based Solutions for Urban Resilience

We focus on how natural elements in urban ecosystems can be leveraged to protect cities from environmental stressors.

  • Example works: Designing Nature-based solutions that strengthen urban resilience and exploring the intersection of biological systems and sustainable infrastructure.

By bridging the gap between built environment science and urban ecology, we provide the evidence-based insights necessary to build resilient, biodiverse, and healthy cities for the future.

We offer postdoctoral fellowships and research assistant positions to anyone who are interested in above topics. If you are interested, please drop me a message and your CV.

Contact: Dr. Jun Yang
Email: larix(at)tsinghua.edu.cn; larix001(at)gmail.com
Profiles: Lab Homepage; Google Scholar page; ResearchGate