- Pauline M. Rudd - PI
- Barbara Keegan - PA/Administrator (to Professor Pauline M. Rudd)
Marie Galligan - PhD Student
Principal Investigator
Post-Docs
- Giorgio Carta - Bioinformatics
- Eoin Cosgrave - Fc Receptor Glycobiology
- Margaret Doherty - Technology Development
- Eugene Dempsey - Cell signalling in Cancer
- Rebecca Duke - Glycobiology of O-linked glycans
- Mark Hilliard - Mass Spectrometry Development and Analytics
- Jayesh Kattla - Training and Research
- Karina Marino- Alimentary Glycoscience Research Cluster
- Niaobh O'Donoghue - Lab Manager
- John O'Rourke - Bioinformatics
- Oscar Potter - Technology Development
- Radka Saldova-Fahey - Glycobiology and Cancer
- Michael Schomberg - Technology Development
- Weston Struwe - Mass Spectrometry Development and Analytics
- Jayne Telford - Glycobiology and Disease
- Tharmala Tharmalingam - Reproductive Biology Research Cluster
Research Assistants
- Barbara Adamczyk - Glycobiology and Disease
- Patrick Jennings - Glycobiology and Disease
- Joanne Withers - Glycobiology and Disease
PhD Student
- Marie Galligan- Statistics
Former members
- Jonathan Bones
- Matthew Campbell
- Li Liu
- Jodie Abrahams
- Jennifer Byrne
- Marion Boland
- Ronan Kelly
- Ciara McManus
- Natalia Artemenko
Current Area of Interest
My bachelor’s degree is in Mathematical Sciences and Computing, with an emphasis on statistics in the final two years.
My area of interest is biostatistics, the subject for which i’m hoping to obtain a PhD. I’m currently working with Prof. Thomas Brendan Murphy to develop novel techniques for the analysis of Glycomics data, generated by Pauline Rudd’s research group, to aid in the diagnosis and prognosis of different diseases and also to identify glcan biomarkers for these diseases.
An appropriate statistical model for this data needs to take into account that the data are relative, as opposed to absolute, quantities. Such data is referred to as compositional. There have been various methods developed to overcome the difficulties in the analysis of compositional data, but the research in this area is not extensive. I’m currently attempting to fit nested Dirichlet models to the data, which might then be used for classification purposes.
My PhD funding comes from IRCSET, under the program for Structured PhDs in Bioinformatics and Computational Biomedicine.
Contact Information
Email:follow this link