Tessum Research Group

Air pollution kills 3,000,000 people per year. So how can we stop it?

About Us

Ambient air pollution causes ~4% of total deaths in the United States, more than three times the number caused by motor vehicle crashes. Our group assesses air pollution-related effects of human activity, focusing on mechanistic modeling of outdoor air pollution and its health impacts, quantifying inequities in the distribution of those impacts, and proposing and testing solutions. We study the relationships between emissions, human activities that cause them, and the resulting health impacts, and we develop modeling capabilities to enable these types of analyses.

Approach

How do we science?

Atmospheric modeling

Modeling the emission, transport, transformation, and removal of chemicals in the atmosphere

Impact assessment

Modeling the impact of behavior and policy scenarios on human health and health equity

Machine learning

Leveraging machine learning and artificial intelligence to improve existing models and allow new insights

Projects

Machine-learned atmospheric chemical mechanisms

Atmospheric chemical reactions are responsible for a number of important phenomena, including smog and some of the drivers of global climate change. However, these reactions are computationally intensive to simulate using traditional methods, resulting in models of the atmosphere that are slow and expensive to operate.

Meet the Team

Principal Investigator

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Christopher Tessum

Assistant Professor of Civil and Environmental Engineering

Grad Students

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Lin Guo

Research Assistant

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Shiyuan Wang

Research Assistant

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Xiaokai Yang

Research Assistant