InForMID
Tufts Initiative for the Forecasting and Modeling of Infectious Diseases
Tufts Initiative for the Forecasting and Modeling of Infectious Diseases

Bingjie Zhou | MS

CV | Email | LinkedIn | ResearchGate

Education
• MS, 2019, Biochemical and Molecular Nutrition, Friedman School, Tufts University
• BA, 2017, Veterinary Medicine, China Agricultural University

Research Interests
• Creating data visualizations to better interpret time series data
• Investigating the associations of sugar sweetened beverages and coffee consumption on chronic diseases and mortality outcome in large cohort studies






Research Highlights

Simpson RB, Zhou B, Naumova EN (2020). Seasonal synchronization of foodborne outbreaks in the United States, 1996-2017. Scientific Reports (Accepted).

Simpson RB, Zhou B, Alarcon Falconi TM, Naumova EN (2020). An analecta of visualizations for foodborne illness trends and seasonality. Nature Data (Accepted).

Simpson RB, Gottlieb J, Zhou B, Liang S, Jiang X, Hartwick MA, Naumova EN (2020). Navigating global public influenza surveillance systems for reliable forecasting. In Integrated Science of Global Epidemics. Springer (Under Revision).

Zhou B, Ichikawa R, Parnell LD, Noel SE, Zhang X, Bhupathiraju SN, Smith CE, Tucker KL, Ordovas JM, Lai CQ (2020). Metabolomic Links between Sugar-Sweetened Beverage Intake and Obesity. Journal of Obesity.