My research in general looks into

  1. climate and environmental policy decision making;
  2. efficient and rigorous climate and air pollution predictions.

I employ statistical and numerical modeling tools in assessing and quantifying policy outcomes, including machine learning, causal inference, chemical transport model, energy optimization model, climate ensembles and satellite inversion.


(* indicates equal contribution)

  • Rapid increase in China's industrial ammonia emissions: evidence from unit based mapping
    • Yuang Chen *, Qianru Zhang *, Xingrui Cai, Haoran Zhang, Huimin Lin, Chaoyue Zheng, Zhanqiang Guo, Shanying Hu, Long Chen, Shu Tao, Maodian Liu, Xuejun Wang.       Environmental Science & Technology, 2022.    [link] [pdf]