Niamh Cahill, PhD

Niamh Cahill, PhD

Assistant Professor, Statistics

Maynooth University

I am an applied statistician with interests in developing statistical models for the analysis of time dependent, compositional and/or spatial data. One aspect of my research focuses on the development of statistical models to assess and interpret population-level health trends, specifically family planning indicators, on a national and sub-national level. As well as this I work on the statistical analysis of indicators of climate change, specifically sea-level change.

I use a Bayesian approach to statistical modeling, which is suitable for developing complex hierarchical models, accounts of uncertainties related to model parameters, incorporates prior knowledge, and shares information across data populations. My research covers a range of statistical disciplines including: stochastic processes; time series analysis; computation and simulation; and multivariate analysis.

Education

  • PhD in Statistics, 2015

    University College Dublin

  • MSc in Statistics, 2011

    University College Dublin

  • BSc in Statistics and Chemistry, 2010

    Maynooth University

Career Profile

 
 
 
 
 

Assistant Professor

Maynooth University

Dec 2018 – Present Maynooth, Ireland
 
 
 
 
 

Lecturer

University College Dublin

Jan 2018 – Nov 2018 Dublin, Ireland
 
 
 
 
 

Post Doctoral Researcher

UMASS Amherst

Jan 2016 – Dec 2017 Amherst, MA, USA

Blog Posts

Mapping Women in Sea-Level Science

On International Women’s Day Juliet Shefton created a slack space for Women in Sea-Level Science. After seeing a blog post by Monica Alexander about mapping a network of women in demography I was interested in visualing where sea-level researchers (who identify as female or other gender minorities) are located around the globe. Here I’ve mapped the researchers based on their affiliations.

Featured Publications

(2020). Estimating global mean sea-level rise and its uncertainties by 2100 and 2300 from an expert survey. npj climate and atmospheric science.

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(2017). Global temperature evolution: recent trends and some pitfalls. Environmental Research Letters.

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