My research program applies atmospheric science tools such as chemical transport modeling, remote sensing, and inverse methods to public health questions. I explore how climate mitigation and air pollution control could benefit public health and ameliorate global inequalities.

Kyla's project assesses the impact of London's Ultra-Low Emission Zone (ULEZ) on surface-level nitrogen dioxide (NO₂) concentrations and associated health effects. It integrates ground-based LAQN measurements, satellite observations, and machine learning techniques to analyse spatial and temporal changes in air quality following the ULEZ implementation.

Feichi's PhD project explores methods for high-precision estimation method of methane concentration by integrating remote sensing and machine learning. She is co-supervised by Dr. Lu Zhuo and Omar.