Atmospheric science

Research

I used complex numerical models to understand how to improve air quality and public health in India, China, Indonesia, and South America.

I quantified how clean household energy can improve air quality and public health in India (interactive map).

I completed a PhD in Ambient air quality and human health in India from the University of Leeds.

I quantified the key sources of air pollution exposure in India, the impact of air pollution exposure on human health, and how might this change in the future.
Overall, the disease burden associated with air pollution exposure in India is large, increasing, and dominated by solid fuel use (especially in homes).
I was inspired by Kirk R. Smith and Hans Rosling.

I taught and provided support for a complex air quality model, WRFChem (Bash and Fortran).

I gave lectures on air pollution and human health (slides, code).

I taught and provided support for epidemiological models.

Winner, Postgraduate Researcher Publication Prize, School of Earth and Environment, University of Leeds, UK, 2019.
Runner-up, Most significant scientific advance or discovery by a PhD student, Institute for Climate and Atmospheric Science, University of Leeds, UK, 2017.

Engineering Mathematics, University of Washington, Mechanical Engineering 564 and 565.
Atmospheric science:
- Overview of air pollution and climate change
- Art of Climate Modeling, Paul Ullrich, UC Davis.
Machine Learning for Healthcare, MIT 6.S897, David Sontag and Peter Szolovits, 2019.
Artificial Intelligence for Earth System Science (AI4ESS) Summer School, 2020, National Center for Atmospheric Research.
Artificial Intelligence (AI) for Earth Monitoring, EUMETSAT, ECMWF, MOi, EEA, Copernicus.