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1. We use modern statistical methods and big economic data to investigate the drivers and assess the domestic and foreign consequences of international trade and investment. Our thorough research provides policymakers and companies with new insights into highly relevant global trade and investment policy issues.

2. We use advanced economic models and establishment-level business information to study the conduct and performance of firms operating in the agricultural and food industry.

3. We work on questions related to environmental pollutants, human and animal health, and invasive species. Our research uses causal inference methods to assess the impact of environmental contaminants such as air pollution, pesticides, plant pollen, and wildfires on human well-being. We use novel data and innovative statistical techniques to investigate the mental health crisis's causes and (unintended) side effects. We also work on questions related to the management of animal diseases and public health.

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Please explore the publication and project pages to learn more about our research.