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

Ryan Simpson | MS, PhD ’21

CV | Email | LinkedIn | Google Scholar | ResearchGate | ORCID

Education
• PhD Candidate, 2021, Nutrition Epidemiology and Data Science, Friedman School of Nutrition Science and Policy, Tufts University
• MS, 2019, Nutrition Epidemiology and Data Science, Friedman School of Nutrition Science and Policy, Tufts University
• BA, 2017, Global Affairs: International Development, Yale University
• BA, 2017, Environmental Engineering: Urban Agriculture, Yale University

Research Interests
• Applying time series methods to describe, explain, and predict infectious disease seasonality
• Modeling foodborne outbreaks in locations facing complex emergencies or disasters
• Triangulating disease behaviors between data-rich and data-sparse locations
• Evaluating the effects of data credibility and completeness on modeling reliability

Research Highlights

Simpson RB, Alarcon Falconi TM, Venkat A, Chui KH, Navidad J, Naumov YN, Bhattacharyya S, Naumova EN (2019). Incorporating calendar effects to predict influenza seasonality in Milwaukee, Wisconsin. Epidemiology and Infection 147: E268.

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).

Research and Grants

Research Grants

IARPA Federal Grant. Tufts University, October 2017 – March 2020. Principal Investigator: Dr. Elena N. Naumova. My Role: Research Coordinator; I was involved in the developing, drafting, editing, and submission of weekly responses related to the grant as well as report preparation and publications.

NSF IRES Track I Grant. Tufts University, October 2018 – Present. Principal Investigator: Dr. Elena N. Naumova. My Role: Research Coordinator; I was involved in the development, drafting, and editing of templates for students to conduct research as well as report preparation and publications.

NSF SOLSTICE Grant. Tufts University, October 2019 – Present. Principal Investigator: Dr. Elena N. Naumova. My Role: Research Coordinator; I was involved in the drafting of documents related to this grant, communications with faculty and students, and IRB consent.

National Institute of Food and Agriculture. Tufts University, March 2020 – Present. Principal Investigator: Dr. Elena N. Naumova. My Role: Recipient.

Data Intensive Studies Center (DISC) Seed Grant. Tufts University, May 2020 – Present. Principal Investigator: Dr. Elena N. Naumova. My Role: Research Assistant; I collaborated with Dr. Naumova in during the drafting of this grant. I am also involved in organizing and coordinating research projects with graduate students participating in this grant.

 

Student Travel / Research Grants

Tufts University, Graduate School of Arts and Sciences. Graduate Education Teacher Training (GETT). January 2020. Fellow - Cancelled: I wrote and prepared this grant to provide educational training for a possible future career in education.

Tufts University, Tufts Institute of Environment (TIE). Environmental Research Fellowship. January 2020. Fellow – Funded. I wrote and prepared this grant on behalf of our research team. This grant supports one year of research on topics related to coastal resilience and vulnerability as well as the intersection between public health, nutrition, and the environment.

 

Analytics Without Borders Conference Fundraising Activities

Tufts University, Friedman School Friedman School of Nutrition Science and Policy. School Student Council. Funded: $700.00. November 2019. I wrote, prepared, and submitted this grant for funding conference operations.

Tufts University. Tufts Institute of Environment (TIE). Funded: $1000.00. December 2019. I wrote, prepared, and submitted this grant for funding conference operations.

American Statistical Association (ASA). Strategic Initiative Grant. Funded: $1100.00. February 2020. I wrote, prepared, and submitted this grant for funding conference operations.

Tufts University, Office of the Vice Provost. Data Intensive Studies Center. Funded: $1250.00. March 2020. I wrote, prepared, and submitted this grant for funding conference operations.

Publications and Presentations

Publications:

Published

  1. Simpson RB, Alarcon Falconi TM, Venkat A, Chui KHH, Navidad J, Naumov YN, Gorski J, Bhattacharyya S, Naumova EN (2019). Incorporating calendar effects to predict influenza seasonality in Milwaukee, Wisconsin. Epidemiology and Infection 147(e268)" 1–13. https://doi.org/10.1017/S0950268819001511.
  2. Simpson RB, Zhou B, Naumova EN (2020). Seasonal synchronization of foodborne outbreaks in the United States, 1996-2017. Scientific Reports (Accepted).
  3. Simpson RB, Zhou B, Alarcon Falconi TM, Naumova EN (2020). An analecta of visualizations for foodborne illness trends and seasonality. Nature Data (Accepted).

Under Revision

  1. Simpson RB, Gottlieb J, Zhou B, Hartwick MA, Naumova EN (2020). Navigating open access surveillance data: completeness of FluNet records. Scientific Reports (Under Revision).
  2. 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).

In Preparation

  1. Simpson RB, Babool S, Tarnas M, Kaminski PM, Hartwick MA, Naumova EN. Application of dynamic mapping for understanding cholera and conflict during the Yemen Civil War, 2016-2019. Anticipated Submission to Nature Data.
  2. Simpson RB, Babool S, Tarnas M, Kaminski PM, Hartwick MA, Naumova EN. An examination of seasonal signatures of cholera infection during the Yemen Civil War, 2016-2019. Anticipated Submission to Lancet Global Health.

Presentations:

  • Langlois BK, Chatterji N, Stotland T, Simpson RB, Carroll DA, Murwani R, Ambariyanto A, Naumova EN (2020). An index for exploring vulnerability due to flooding in Central Java using principal component analysis. 7th International Conference on Tropical and Coastal Region Eco Development 2020 (Virtual).
  • Stotland T, Langlois BK, Chatterji N, Simpson RB, Carroll DA, Murwani R, Ambariyanto A, Naumova EN (2020). A kernel density and space-time analysis of flood events in Indonesia from 1985-2019. 7th International Conference on Tropical and Coastal Region Eco Development 2020 (Virtual).
  • Carroll DA, Chatterji N, Langlois BK, Simpson RB, Hartwick MA, Stotland T, Ambariyanto A, Naumova EN (2020). Change in mangrove extent and ties to fisheries sustainability and coastal flooding vulnerability: an assessment of available methodologies. 7th International Conference on Tropical and Coastal Region Eco Development 2020 (Virtual).
  • Anyanwu OA, Chui KKH, Zhang FF, Chomitz VR, Langlois BK, Simpson RB, Ambariyanto A, Murwani R, Folta SC, Naumova EN (2020). Socio-demographic, behavioral, and health determinants of higher consumption western dietary patterns among Indonesians 15 years and older in the IFLS 5. 7th International Conference on Tropical and Coastal Region Eco Development 2020 (Virtual).
  • Simpson RB, Langlois B, Carroll DA, Hartwick MA, Chatterji N, Stotland T, Murwani R, Ambariyanto A, Naumova EN (2020). Coastal flooding vulnerability and COVID-19 outbreak severity: An example from Semarang, Indonesia. 7th International Conference on Tropical and Coastal Region Eco Development 2020 (Virtual).
  • Naumova EN, Simpson RB, Hartwick MA, Venkat A, Bosch I, Bhattacharya S, Patra A (2020). COVID-19 Pandemic Signatures: Estimating the Onset Time with Kolmogorov-Zurbenko Adaptive Filter. Tenth International Conference on Complex Systems (Virtual).
  • Anyanwu O, Simpson RB, Langlois B, Naumova EN (2020 - Cancelled). Demographic and Psychosocial Correlates of Exclusive Breastfeeding Duration in Indonesia. ASN 2020 Conference. American Society of Nutrition. Seattle, WA (Virtual).
  • Simpson RB, Naumova EN. (2020 – Cancelled). An association between peaks of foodborne infections and food recalls. ASN 2020 Conference. American Society of Nutrition. Seattle, WA (Virtual).
  • Fisher K, Taylor S, Simpson RB, Naumova EN. (2020 – Cancelled). Assessment of adult weight status by body mass index (BMI) and the association with socio-demographic factors and commonly eaten foods in Indonesia between 2014-2015. ASN 2020 Conference. American Society of Nutrition. Seattle, WA (Virtual).
  • Langlois B, Simpson RB, Anyanwu O, Marsh E, Taylor S, Naumova EN. (2020 – Cancelled). Using the Indonesian Family Life Survey to Evaluate the Indirect Impacts of Climate Variations on Fishery and Farm Productivity: An Example Exploring Natural Disasters and Migration. ASN 2020 Conference. American Society of Nutrition. Seattle, WA (Virtual).
  • Tarnas M, Babool S, Simpson RB, Kaminski PM, Naumova EN (2020 - Cancelled). Risks of Cholera Transmission Amplified by the War Conflicts in Yemen, 2016-2018. 2020 Annual CUGH Global Health Conference. Consortium of Universities for Global Health. Washington, DC (Virtual).
  • Babool S, Tarnas M, Simpson RB, Kaminski PM, Naumova EN (2020 - Cancelled). Understanding of the Cholera Outbreak Patterns in Yemen's Governances during the Civil War, 2016-2018. 2020 Annual CUGH Global Health Conference. Consortium of Universities for Global Health. Washington, DC (Virtual).
  • Simpson RB, Babool S, Tarnas M, Kaminski PM, Naumova EN (2020 - Cancelled). Intentionally Broken Barriers and Cascading Risks of Cholera Spread in Yemen from 2016-18. 2020 Annual CUGH Global Health Conference. Consortium of Universities for Global Health. Washington, DC (Virtual).
  • Simpson RB (2020 - Cancelled). An association between peaks of foodborne infections and food recalls. Tufts Friedman Student Research Conference. Friedman School of Nutrition Science and Policy. Boston, MA (Oral Presentation).
  • 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)
  • Simpson RB, Venkat A, Zhou B, Naumova EN (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). 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)
  • Venkat A, Simpson RB, Marshak A, Naumova EN (2019). Complex Decision-Making Rules for Famine Forecasting. 17th Annual Freeman Symposium on Infectious Diseases. Harvard University. Cambridge, 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)
  • 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)
  • Venkat A, Marshak A, Simpson RB, Naumova EN (2019). Global Evidence on the Seasonality of Enteric Infections, Undernutrition, and Livestock Ownership. International Conference on Epidemiology and Infectious Diseases. World Academy of Science, Engineering, and Technology. Boston, MA. (Poster Presentation)
  • Simpson RB, Zhou B, Naumova EN (2019). Foodborne Infections: Methods for Characterizing Seasonality. Analytics Without Borders Conference. Bryant University. Providence, RI. (Oral 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, Alarcon Falconi TM, Venkat A, Chui KH, Navidad J, Naumov YN, Bhattacharyya S, Naumova EN (2019). Incorporating Calendar Effects to Predict Influenza Seasonality: A Case Study in Milwaukee, Wisconsin (2004-2009). 2019 ISDS Annual Conference. International Society for Disease Surveillance Conference. San Diego, CA. (Poster Presentation)
  • Simpson RB, Venkat A, Marshak A, Naumova EN (2018). Techniques for Forecasting Infectious and Foodborne Diseases. Global Health Weekly Seminar. Tufts University School of Medicine. Boston, MA. (Oral Presentation)
  • Simpson RB, Venkat A, Marshak A, Alarcon Falconi TM, Naumova EN (2018). Calendar Effects and Influenza: Lessons from Milwaukee, WI. 2018 Winter Boston Chapter Meeting. American Statistics Association. Boston, MA. (Oral Presentation)
  • Simpson RB, Venkat A, Marshak A, Naumova EN (2018). Exploring Calendar Effects on Influenza. 16th Annual Freeman Symposium on Infectious Diseases. Harvard University. Cambridge, MA. (Poster Presentation)
  • Venkat A, Simpson RB, Marshak A, Naumova EN (2018). Signature Forecasting for Infectious Disease: A Comparative Study of WHO FluNet Records. 2018 New England Statistics Symposium. New England Statistics Society. Amherst, MA. (Poster Presentation)
  • Venkat A, Simpson RB, Naumova EN (2017). With Great Data Comes Great Responsibility: Big Data Applications for Forecasting Complex Events. Tufts Data Intensive Studies Center (DISC) Fall Symposium. Tufts University. Medford, MA. (Poster Presentation)
Leadership
Honors and Awards
Teaching Experience
  • NUTB-0250, Statistical Methods for Health Professionals. Instructor(s): Lynne Ausman and Naglaa El-Abbadi. Graduate-Level. Tufts University, Friedman School of Nutrition Science and Policy. Residency Week Teaching Assistant (Fall 2020).
  • NUTR-0394, Advanced Data Analysis. Instructor(s): Elena Naumova. Graduate-Level. Tufts University, Friedman School of Nutrition Science and Policy. Teaching Assistant (Fall 2019, Fall 2020)
  • NUTR-0393, Data Visualizations and Effective Communication. Instructor(s): Elena Naumova and Corby Kummer. Graduate-Level. Tufts University, Friedman School of Nutrition Science and Policy. Teaching Assistant (Spring 2020)
  • Tufts University DataLab Assistant. Coordinator(s): Carolyn Talmadge, Kyle Monahan. Faculty, Doctoral, Graduate, and Undergraduate Levels. Tufts University. Statistics Tutor (Fall 2018 – Present)
  • Community Health Program. Coordinator(s): Shalini Tendulkar. Undergraduate-Level. Tufts University, School of Arts and Sciences. Statistics Tutor (Fall 2018, Spring 2019, Fall 2019)
Editorial Activities
  • Reviewer, Journal of Public Health Policy, March 2020 - Present
  • Assisted with reviews. Journals: Climate Change
  • Acknowledgements. Urena-Castro K, Avila S, Gutierrez M, Naumova EN, Ulloa-Gutierrez R, More-Guevara A. (2019). Seasonality of Rotavirus Hospitalizations at Costa Rica’s National Children’s Hospital in 2010-2015. International Journal of Environmental Research and Public Health (IJERPH), 16(13), 2321. doi: 10.3390/ijerph16132321