Our group combines computer models, data science, and machine learning to study the Earth system with a focus on atmospheric chemistry and composition.

The chemical composition of the atmosphere is a major driver of two modern environmental crises: poor air quality and climate change. Air pollution leads to the death of millions of people each year, and climate change could lead to the death and displacement of millions more. Understanding the controlling factors behind the chemical composition of the atmosphere is a critical step toward developing solutions to these global challenges, and the dominant focus of our research.

We work on a variety of topics at the intersection of atmospheric chemistry and composition, traditional computational modeling tools, and new data science and machine learning techniques.

Contact

Sam Silva
Assistant Professor
Department of Earth Sciences
Department of Civil and Environmental Engineering
Department of Population and Public Health Sciences
University of Southern California

samsilva@usc.edu