School of Computer Science and Statistics

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Trinity College Dublin
Dublin 2
Ireland

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Dr. Silvia D'Angelo

Dr. Silvia D'Angelo

Assistant Professor, Statistics

https://sites.google.com/view/silviadangelo/home

Biography

I am a Lecturer/ Assistant Professor in Statistics in the School of Computer Science and Statistics at Trinity College Dublin. Prior to this, I was an Assistant Professor in Statistics in the School of Mathematics and Statistics at University College Dublin, where in the past I have also worked as a PostDoc in the VistaMilk SFI Research Centre with Prof. Claire Gormley and in the ERC-ADIET project with Prof. Claire Gormley and Prof. Lorraine Brennan. I obtained a PhD in Statistics from Sapienza, University of Rome, working with Prof. Marco Alfo'. I am currently in the committee of the Young Statisticians Section of the Irish Statistical Association (Young-ISA), serving as Ordinary member, and in the committee of the Irish Statistical Association (ISA), serving as Ordinary member.

Publications and Further Research Outputs

  • Isobel C. Gormley; Silvia D'Angelo; Lorraine Brennan, Combining Biomarker and Food Intake Data, Wiley StatsRef: Statistics Reference Online, 2022, p1 - 11Journal Article, 2022, URL
  • Silvia D'Angelo; Lorraine Brennan; Isobel Claire Gormley, Inferring food intake from multiple biomarkers using a latent variable model, The Annals of Applied Statistics, 15, (4), 2021, 2043 - 2060Journal Article, 2021, DOI
  • Silvia D'Angelo; Isobel Claire Gormley; Aoife E. McNamara; Lorraine Brennan , multiMarker: software for modelling and prediction of continuous food intake using multiple biomarkers measurements, BMC Bioinformatics, 22, (1), 2021, p1 - 9Journal Article, 2021, URL
  • Silvia D'Angelo; Marco Alfò; Thomas Brendan Murphy, Modeling node heterogeneity in latent space models for multidimensional networks, Statistica Neerlandica (Wiley), 74, (3), 2020, p324 - 341Journal Article, 2020, URL
  • Silvia D'Angelo; Isobel Claire Gormley; Breige A McNulty; Anne P Nugent; Janette Walton; Albert Flynn; Lorraine Brennan, Combining biomarker and food intake data: calibration equations for citrus intake, The American Journal of Clinical Nutrition, 110, (4), 2019, p977 - 983Journal Article, 2019, URL
  • Silvia D'Angelo; Thomas Brendan Murphy; Marco Alfò, Latent space modelling of multidimensional networks with application to the exchange of votes in Eurovision Song Contest, The Annals of Applied Statistics, 13, (2), 2019, p900 - 930Journal Article, 2019, DOI
  • Viviana Egidi; Michele Antonio Salvatore; Giulia Rivellini; Silvia D'Angelo, A network approach to studying cause-of-death interrelations, Demographic Research, 38, 2018, p373 - 400Journal Article, 2018, URL
  • Understanding Dependency Patterns in Structural and Functional Brain Connectivity Through fMRI and DTI Data in, editor(s)Antonio Canale; Daniele Durante; Lucia Paci; Bruno Scarpa , Studies in Neural Data Science, Springer, 2018, [Marta Crispino; Silvia D'Angelo; Saverio Ranciati; Antonietta Mira]Book Chapter, 2018, DOI
  • Silvia D'Angelo, Sender and receiver effects in latent space models for multiplex data, CLADAG 2021, Florence (IT), 9-11 September 2021, 2021Conference Paper, 2021, DOI
  • Silvia D'Angelo; Michael Fop, A latent space model for clustering in multiplex data, CLADAG 2019, Cassino (IT), 11-13 September 2019, edited by Giovanni C. Porzio, Francesca Greselin; Simona Balzano , 2019Conference Paper, 2019, URL
  • Silvia D'Angelo, Latent space models for multidimensional network data, Sapienza, University of Rome, 2018Thesis, 2018, URL
  • Silvia D'Angelo; Claire Gormley; Lorraine Brennan , 'multiMarker: Latent Variable Model to Infer Food Intake from Multiple Biomarkers', 2021, -Software, 2021, URL
  • Silvia D'Angelo; Michael Fop; Marco Alfò; Thomas Brendan Murphy , 'spaceNet: Latent Space Models for Multidimensional Networks', 2019, -Software, 2019, URL
  • Silvia D'Angelo, Marco Alfo', Michael Fop, Model-based clustering for multidimensional social networks, Journal of the Royal Statistical Society Series A: Statistics in Society, 2023Journal Article, 2023
  • Alessandro Casa, Michael Fop, Silvia D"Angelo, A discussion on "Sparse Bayesian factor analysis when the number of factors is unknown" by Frühwirth-Schnatter, Hosszejni and Freitas Lopes, Bayesian Analysis, 2024, p62 - 64Journal Article, 2024

Research Expertise

  • Title
    T-DIET: developing novel statistical methods for the analysis of longitudinal dietary patterns and their association with health outcomes
    Summary
    Funding Agency
    Research Ireland
    Date From
    2025
    Date To
    2029

Recognition

  • Member of the Young Section of the Irish Statistical Society
  • Member of the Irish Statistical Association
  • Member of the Italian Statistical Society 2021
  • Journal reviewer - Statistics and Computing
  • Journal reviewer - Journal of the Royal Statistical Society Series A
  • Journal reviewer - Annals of Applied Statistics
  • Journal reviewer - Network Science
  • Journal reviewer - Journal of the American Statistical Association
  • Journal reviewer - Journal of the Royal Statistical Society Series C