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

Zhou

Honors and Awards
  • Tuition scholarship, 2017-2019, Friedman School, Tufts University
  • China National Scholarship, 2016
Teaching Experience
  • Nutritional Epidemiology. Graduate course, Tufts University Friedman School. Teaching Assistant (Fall 2019)
  • Intermediate Epidemiology. Graduate course, Tufts University Friedman School. Teaching Assistant (Spring 2020)
Professional Experience
  • Research Data Analyst, Friedman School of Nutrition Science and Policy, Tufts University. Boston, MA., Boston, MA, March 2020– Present
  • Research assistant, Friedman School of Nutrition Science and Policy, Tufts University. Boston, MA., Boston, MA, Oct 2019 – Feb 2020
  • Graduate research assistant, Nutrition and Genomics Lab, Jean Mayer USDA Human Nutrition Research Center on Aging, Boston, MA, Feb 2018 – Feb 2019
  • Veterinary intern, Veterinary teaching hospital, China Agricultural University. Beijing, China, Feb 2018 – May 2018
  • Research assistant, National Animal Protozoa Lab, China Agricultural University. Beijing, China. Mar 2017 – April 2018
Publications and Presentations
  • 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).
  • Zhou B, Ichikawa R, Parnell LD, Noel S, Zhang X, Bhupathiraju SN., ... & Lai CQ. (2020). Metabolomic Links between Sugar-Sweetened Beverage Intake and Obesity. Journal of Obesity2020.
  • Simpson RB, Zhou B, Babool S, Naumova EN. (2019). Foodborne Outbreak Calendar Synchronization: A Time Series Analysis Application. 7th International Conference on Infectious Disease Dynamics. Elsevier. Charleston, SC. (Poster Presentation)
  • Naumova EN, Simpson RB, Venkat A, Zhou B. (2019). Synchronization of Foodborne Disease Seasonality. Symposium on Networks in Food Systems & Nutrition. University of Vermont. Burlington, VT. (Oral Presentation)
  • Simpson RB, Zhou B, Naumova EN. (2019). Foodborne Infections: Methods for Characterizing Seasonality. Analytics Without Borders Conference. Bryant University. Providence, RI. (Oral Presentation)
  • Simpson RB, Zhou B, Naumova EN. (2019). Visualizing Disease Seasonality: Comparisons Across Space and Time. 17th Annual Freeman Symposium on Infectious Diseases. Harvard University. Cambridge, MA. (Poster Presentation)
  • Simpson RB, Zhou B, Naumova EN. (2019). Seasonality of Foodborne Infections: The Relationship Between Peak Timing and Amplitude. 17th Annual Freeman Symposium on Infectious Diseases. Harvard University. Cambridge, MA. (Poster Presentation)
  • Zhou B, Simpson RB, Naumova EN. (2019). Visualizing Disease Seasonality: Challenges and Solutions. Analytics Without Borders Conference. Bryant University. Providence, RI. (Oral Presentation)
  • Simpson RB, Venkat A, Zhou B, Naumova EN. (2019). Forecasting Influenza in Data-Rich and Data-Sparse Environments: Applications of Triangulating Disease Seasonal Patterns. International Conference on Epidemiology and Infectious Diseases. World Academy of Science, Engineering, and Technology. Boston, MA. (Poster Presentation)
  • Simpson RB, Waskow A, Venkat A, Zhou B, Naumova EN. (2019). Foodborne Outbreak Calendar: Applications of Time Series. International Conference on Epidemiology and Infectious Diseases. World Academy of Science, Engineering, and Technology. Boston, MA. (Poster Presentation)
  • Ichikawa R, Zhou B, Lai CQ et al. (2019). Metabolomic Links Between Sweetened Beverage Intake and Obesity. American Society for Nutrition Annual Meeting, Baltimore, MD