Research

We develop and apply modeling tools to understand air quality in India and their impacts on human and ecosystem health. Our research integrates atmospheric science, agricultural systems, exposure assessment, and sustainability analysis using a systems-scale approach for the study of:

• Nitrogen management:  Agriculture and food systems pose a wicked problem - current production methods have been linked to widespread environmental damage. We use a multi-model system comprising national survey data, agricultural repositories, emissions models, air quality models, and systems-scale LCA approaches to understand tradeoffs between food and the environment. We also study the role of dietary transitions in climate change.

• Ambient air quality modelling: We develop next-generation reduced-complexity models and implement chemical transport models to improve predictive understanding of air pollution, human exposure, and ecosystem impacts. Our work supports integrated assessment of air quality and public health across India. 

• Indoor air quality: We combine field measurements with computational fluid dynamics models to assess ventilation and infectivity metrics in high-occupancy-density microenvironments like classrooms.