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Sinead E. Morris

Postdoctoral Research Scientist

Columbia University Medical Center

Biography

I’m a Postdoctoral Research Scientist at Columbia University. I work at the intersection of mathematical modeling, immunology, and infectious diseases.

Interests

  • Mathematical modeling
  • Immunology
  • Disease ecology & epidemiology
  • 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

 
 
 
 
 

Postdoc

Columbia University Medical Center

Jul 2018 – Present New York, NY

Supervised by Prof. Andrew Yates

Projects include:

  • HIV dynamics in neonates on ART
  • Population dynamics of tissue-resident memory T-cells
 
 
 
 
 

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 influenza and dolphin morbillivurs (DMV)

Select publications

(2020). Immuno-epidemiological life-history and the dynamics of SARS-CoV-2 over the next five years. medrxiv.

PDF

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

PDF Code DOI

(2020). ushr: Understanding suppression of HIV in R. BMC Bioinformatics.

PDF Code Dataset DOI

(2018). Modeling the measles paradox reveals the importance of cellular immunity in regulating viral clearance. PLoS Path., 14(12).

PDF Dataset Slides DOI

Software

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Modeling tissue-resident memory T cells

Illustrates how to model experimental data of 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

The SIR model

Introduction In class we covered the SIR model with births and deaths. Assuming the birth rate is equal to the death rate (\(\mu\)) …

Select talks