My academic and research pursuits have covered atmospheric modeling, the implications of climate change on air quality, and the application of machine learning in environmental science. In my previous research, I applied numerical models (WRF-CAMx, WRF-CMAQ) and utilized the source apportionment module to predict air pollutions and investigate their sources. Through integrating numerical models with hybrid data fusion techniques and machine learning, I enhanced the accuracy of pollution predictions and source apportionment. Additionally, I have been delving into the intricate relationship between climate change and air quality, focusing on how climate change influences atmospheric conditions and pollutants. My work explores the driving factors behind air quality changes under various Shared Socioeconomic Pathways (SSP) scenarios and examines the broad socio-economic impacts of air quality. Relevant articles have been published in Environmental Science & Technology, Acta Scientiae Circumstantiae, and Science of The Total Environment.