Current PhD Students:

• Prabhleen Kaur (cosupervised by Simone Ciuti).
  • “Social Network Analysis of Animal Social Networks: robustness and methods.”
  • Funded by Foundations of Data Science, SFI Centre for Research Training
• Kseniia Maksimova (cosupervised by Emmeline Hill).
  • “Novel population genomics approaches for trait mapping using the Thoroughbred horse model.”
  • Funded by Genomics Data Science, SFI Centre for Research Training
• Kim Conteddu (primary supervisor Simone Ciuti).
  • “Modelling the effect of human pressures on wildlife social-networks to improve our understanding of multispecies disease transmission.”
  • Funded by Foundations of Data Science, SFI Centre for Research Training

Former PhD Students:

• Dr. Jinbo Zhao (cosupervised by Adrian O’Hagan).
  • “Statistical Genetics Models with Actuarial Applications.”
  • Funded by Insight
  • Now a postdoc with Systems Biology Ireland.
• Dr. Catherine Mahoney (primary supervisor Denis Shields).
  • “Discovering genomic regions enriched for de novo recombination events.”
  • Funded by IRC Enterprise, Bioinformatics and Systems Biology
  • Now a Pharmacoepidemiology Senior Principal at Eli Lilly and Company.
• James Ward (primary supervisor David MacHugh).
  • “High resolution functional population genomics of modern, historical and ancient cattle (Bos spp.).”
  • Funded by Genomics Data Science, SFI Centre for Research Training
• Dr. Chiara Cotroneo (primary supervisor Denis Shields).
  • “Identification of chromosomal clusters of protein domain coding regions in Bacteria and Archaea.”
  • Funded by the Wellcome Trust.
  • Now a Senior Data Scientist at Nord Security.

MSc Students Supervision:

• M.Sc. in Statistics, University College Dublin
• M.Sc. in Data and Computational Science, University College Dublin
• M.Sc. in Actuarial Science, University College Dublin
• M.Sc. in Applied Statistics, University of Oxford

• MOSAIC Tool for modelling multiway admixture using dense genotype data.

• aniSNA Obtain network structures from animal GPS telemetry observations and statistically analyse them to assess their adequacy for social network analysis. Methods include pre-network data permutations, bootstrapping techniques to obtain confidence intervals for global and node-level network metrics, and correlation and regression analysis of the local network metrics.

• VBLPCM Fit and simulate latent position and cluster models for network data, using a fast Variational Bayes approximation.

• egoTERGM Estimation of ego-temporal exponential random graph models.

• Review of Statistical Network Analysis: Models, Algorithms and Software R scripts used to run the examples in the supplementary document to the paper “Review of Statistical Network Analysis: Models, Algorithms and Software” (Statistical Analysis and Data Mining, 2012). The entire directory (input files and R scripts) is archived in a single file.

I am currently lecturing the following courses in UCD:

• STAT30280 Inference for Data Analytics
• STAT40400 Monte Carlo Inference
• STAT40820 Monte Carlo (online)

Courses I previously lectured:

• Time Series Analysis
• Time Series Analysis Actuarial App
• Time Series (Online)
• Bayesian Analysis (level 2 undergraduate module)
• Bayesian Analysis (level 4 masters module)
• Bayesian Analysis (Online)
• Statistics Using R for Computational Biologists, University College Dublin (2011, 2012, 2013).
• Case Studies in Simulation Science, University College Dublin (2013).
• Statistics and Mathematics in Computational Biology, University College Dublin (2009, 2010).
• Transferable Skills: Statistics I and II (Ph.D. level), University College Dublin (2010, 2011).
• Advanced Quantitative Research Methods module, School of Nursing, Trinity College Dublin (2007).
• Introduction to Management Science, Dept. of Statistics, Trinity College Dublin (2007).

Courses I previously tutored:

• Visiting Students’ Tutor in Statistics, Mansfield College, University of Oxford (2015, 2016).
• Stochastic Models in Mathematical Genetics, University of Oxford (2014, 2015).
• Introduction to Unix, School of Mathematics, Trinity College Dublin (2005-2006).
• Numerical Computing, School of Mathematics, Trinity College Dublin (2005-2007).

Professional Activities:

• Head of Graduate Teaching and Learning, School of Mathematics and Statistics, UCD (2022-).
• Director of Online Programmes School of Mathematics and Statistics, UCD (2017-).
• Committee Irish Society of Human Genetics (2018-).
• Statistician Animal Research Ethics Committee, UCD (2017-).
• Named Supervisor SFI Centre for Research Training in Foundations of Data Science
• Named Supervisor SFI Centre for Research Training in Genomics Data Science
• Education Officer Irish Statistical Association (2017-2019).
• Organising Committee Conference of Applied Statistics Ireland (2017).

Refereeing:

Statistical Genetics:

• PLoS Computational Biology
• Molecular Ecology
• Genetics
• Methods in Ecology and Evolution
• Genome Research
• Molecular Ecology Resources
• Journal of Heredity

Statistics and Machine Learning:

• Biometrika
• Annals of Applied Statistics
• Journal of Statistics and Computing
• Statistical Analysis and Data Mining
• Machine Learning
• Pattern Analysis and Applications
• Network Science
• NeurIPS (2014)
• AISTATS (2012,2013)
• International Statistical Institute World Congress 2011

Other:

• Animal Behaviour
• Journal of the Environmetrics Society
• Transactions on Knowledge and Data Engineering
• ECML PKDD

Assorted Other activities:

• Organiser of DPhil / postdoc seminar series, Dept. of Statistics, University of Oxford (2013-2016).
• Green Impact committee, Dept. of Statistics, University of Oxford (2013-2016).
• Interview board for hiring to CeADAR (Centre for Applied Data Analytics Research) (2013).
• Exam marking for Mathematics, University of Oxford (2015, 2016).
• Facilitator of academic taster sessions and application conferences for Mansfield College (2015).
• Maintenance Committee Irish Supercomputer List (2013-2018).