Ryan B. Simpson Email & Phone Number

United States

Boston, Massachusetts, United States

Our HEOR, Epidemiology, and Market Access research has impacted health care decision making around the globe. We regularly collaborate with our clients to develop and implement HEOR strategies to support pharmaceutical products throughout their life cycles. Our expertise includes comprehensive research capabilities, defined by cutting-edge methodologies that draw on diverse data sources from US and global markets. We consult on cutting-edge issues at the forefront of health care. Across a broad range of treatments, our innovations in interactive analytics and data visualization provide solutions to our clients’ most complex problems.

Boston, Massachusetts, United States

All research is conducted as part of the National Science Foundation's (NSF) Innovations in Graduate Education Program (IGE) Solution-Oriented, Student-Initiated, Computationally-Enriched (SOLSTICE) training grant (award #1855886).My work includes:- Training and advising graduate students on data management, processing, analysis, and visualizations for effectively designing, evaluating, and disseminating data science research- Developing course teaching materials for teaching non-data science students how to develop research questions, specific aims, data management plans, analytical frameworks, abstracts, and publication manuscripts- Assisting in developing the course design of two graduate/doctoral student courses in advanced data analytics and effective data visualization and communication

All research was conducted as part of the National Science Foundation's (NSF) International Research Experience for Students (IRES) US-Indonesian Research Experience for Students on Sustainable Adaptation of Coastal Areas to Environmental Change grant (award #1826939 and 1827024).My work included:- Examining how big data analytics can help better understand interactions between ecological, economical, and political aspects to measure and assess nutritional health risks due to coastal hazards- Using remote sensing methodologies to evaluate fluctuations in land use types due to seasonal flooding and analyzed cross sectional survey data to validate coastal flooding effects on food/waterborne illness risk- Managing student research proposal formulation, hypothesis generation, data extraction, data analysis, abstract submission, and manuscript creation for students ranging undergraduate to doctoral levels

Boston, Massachusetts, United States

All research was conducted as part of the Tufts University Data Intensive Studies Center's (DISC) COVID-19 seed grant on the Real Time Forecast for COVID-19 Laboratory Confirmed Cases.My work included:- Developed and refined analytic techniques that applied Kolmogorov-Zurbenko (KZ) adaptive filters to examine outbreak signatures of SARS-CoV-2 in Middlesex County, Massachusetts, USA. - This technique, involving smoothing average curves, provides a data-driven approach to identify critical points (i.e., onset, peak, and resolution) and critical periods (i.e., acceleration, deceleration, steady state) of outbreak waves- Applications of this technique offer opportunities for real-time surveillance and near-term forecasting of emerging outbreak threats. We also applied this analytical technique for describing and comparing cholera outbreak signatures across governorates during the Yemeni Civil War.

All research was conducted as part of a research grant (Hybrid Forecasting Competition) through Tufts University Friedman School, which was funded by the Intelligence Advanced Research Projects Activity. My work included:- Applied time series methods to develop weekly forecast models that described, explained, and predicted potential infectious disease outbreaks and humanitarian emergencies worldwide using publicly available data- Conducted frequent forecasts to assess influenza outbreaks within Latin America, enteric infection outbreaks within the United States, cholera outbreaks within Yemen, and famine emergencies within Somalia- Designed educational training material to teach novice forecasters how to conduct effective, reliable, accurate, complex, valuable, clear, and adaptive forecasts for early warning surveillance systems- Predicted the pandemic potential of Middle Eastern Respiratory Syndrome (MERS) and geographic transmission trajectory from Southern China in July 2019 prior to the COVID-19 Pandemic: https://www.nbcnews.com/politics/national-security/u-s-intel-agencies-warned-rising-risk-outbreak-coronavirus-n1144891

Doctor Of Philosophy - Phd, Nutrition Epidemiology And Data Science

Master Of Science - Ms, Nutrition Epidemiology And Data Science, 3.93 / 4.00

Activities and Societies: President Emeritus and Events Coordinator, Tufts Chapter of the American Statistical Association; Co-Chair.

Bachelor Of Arts - Ba, Global Affairs, 3.78 / 4.00

Bachelor Of Arts - Ba, Environmental Engineering, 3.78 / 4.00