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Sinead E. Morris

Prevention Effectiveness Fellow

Influenza Division, CDC

Biography

I'm a Prevention Effectiveness Fellow in the Influenza Division at CDC, working at the intersection of mathematical modeling and public health. I previously modeled within-host dynamics of influenza and HIV as a postdoc at Columbia University, NY.

Interests

  • Mathematical Modeling
  • Public Health & Epidemiology
  • Immunology
  • Cross-scale Dynamics

Education

  • PhD in Ecology and Evolutionary Biology, 2018

    Princeton University

  • Msci in Mathematics, 2013

    University of Glasgow

Skills

Math modeling

Data analysis

Software design

Experience

 
 
 
 
 

Prevention Effectiveness Fellow

Influenza Division, CDC

Aug 2021 – Present Atlanta, GA
Supervised by Drs. Matthew Biggerstaff and Melissa Rolfes
 
 
 
 
 

Postdoc

Columbia University Medical Center

Jul 2018 – Aug 2021 New York, NY

Supervised by Prof. Andrew Yates

Projects included:

  • HIV dynamics in infants on antiretroviral treatment
  • Population dynamics of memory T cells
  • Modeling T cell responses to influenza infection
 
 
 
 
 

PhD student

Princeton University

Aug 2013 – Jun 2018 Princeton, NJ

Supervised by Prof. Bryan Grenfell

Projects included:

  • Within-host dynamics of measles
  • Spatial spread of seasonal influenza
  • Modeling an outbreak of dolphin morbillivirus (DMV)
  • Unravelling the impact of within-host immune responses on population dynamics

Recent publications

(2021). Vaccine nationalism and the dynamics and control of SARS-CoV-2. Science.

PDF DOI

(2021). Longitudinal profiling of respiratory and systemic immune responses reveals myeloid cell-driven lung inflammation in severe COVID-19. Immunity.

PDF DOI

(2021). Epidemiological and evolutionary considerations of SARS-CoV-2 vaccine dosing regimes. Science.

PDF Code DOI

(2020). Immune life history, vaccination, and the dynamics of SARS-CoV-2 over the next 5 years. Science.

PDF DOI

(2020). Quantifying the dynamics of HIV decline in perinatally-infected neonates on antiretroviral therapy. JAIDS.

PDF Code DOI

Software

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Vaccine nationalism

Companion shiny app to Wagner & Saad-Roy et al. 2021 medRxiv

SARS-CoV-2 dynamics

Companion shiny app to Saad-Roy & Wagner et al. 2020 Science

SARS-CoV-2 vaccination

Companion shiny app to Saad-Roy et al. 2021 Science

Modeling tissue-resident memory T cells

How to model tissue-resident memory T cells in nonlymphoid tissues.

shinySIR

Interactive plotting for models of infectious disease spread

ushr

Understanding suppression of HIV in R.

Teaching resources

Math, Models, and Social Mixing

From the RockEDU event page: “This week on Data for the People, postdocs Chloe Pasin and Sinead Morris will talk about how …

SIS model for malaria

Background: simple SIS model Let’s start by refreshing the basics of the SIS model. Susceptible individuals (\(S\)) become infected and …

Disease modeling short course

Understanding the SIR model

Introduction In class we covered the SIR model with births and deaths. As a quick refresher: susceptible individuals (\(S\)) become …

Select talks