Siwei Xie is a Master of Science (ScM) student in Environmental Health—Population Health Track at the Johns Hopkins Bloomberg School of Public Health. He received a double BS in Mathematics and Statistics from the Strathclyde University (Glasgow, UK) in 2023. His main research interests focus on data science & big data in public health (e.g. epidemiology, environment sustainability, medicine); machine learning & deep learning; longitudinal analysis; and prediction modeling. Siwei specializes in modeling design & coding and data analysis by R and Python, and is interested in extracting and using data to show the various current health problems and their importance in public health.