Data Science Fellow wins Forbes 30 under 30 - 2022 | Health Care
Xiao Wu is a Stanford Data Science Post-Doc Fellow. His research connects data science, environmental health, and climate policy. Wu has used the newly developed data science methods to massive administrative and publicly available data to inform science and policy-relevant questions. His landmark study on the link between air pollution and the severity of the COVID-19 pandemic highlighted the need for immediate policy actions pertaining to the environmental factors that affect human health.
Findings from his research significantly improve the scientific understanding of the health burdens of air pollution across the United States and global aging populations and provide the evidence base to inform potential restorations of climate and environmental policies. His research has been published in prestigious scientific venues such as Science Advances, the Lancet Planetary Health, the Annals of Applied Statistics, and Statistics in Medicine. It has attracted the attention of international journalism, including the New York Times, the Guardian, National Geographic, and Scientific American. His work was included in a briefing of the U.S. House of Representatives’ Select Committee on Climate Crisis and a roundtable meeting of the U.S. House of Representatives’ Natural Resource Committee. His work was also included in reports from the U.S. Senate’s Environment and Public Works Committee, the United Kingdom’s All-Party Parliamentary Group on Air Pollution, and the OSCE Parliamentary Assembly.