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Dr. Silvia D'Angelo
Assistant Professor, Statistics
Email dangelos@tcd.ie Phone https://sites.google.com/view/silviadangelo/homeBiography
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
- David O"Sullivan, James Sweeney, Shirin Moghaddam, Kevin Burke(ed.), 39th International Workshop on Statistical Modelling, Limerick, Ireland, 13-18 July 2025, 2025Proceedings of a Conference, 2025
- D'Angelo Silvia, Michael Fop, 'spaceNet: Latent Space Models for Multidimensional Networks (R package)', 2019, -Software
- Silvia D'Angelo, 'multiMarker: Latent Variable Model to Infer Food Intake from Multiple Biomarkers (R package)', 2019, -Software
- Silvia D'Angelo, 'MultiMarker (Web Application)', 2020, -Software
- Silvia D'Angelo, 'Bio-Intake', 2019, -Software
Research Expertise
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TitleT-DIET: developing novel statistical methods for the analysis of longitudinal dietary patterns and their association with health outcomesSummaryFunding AgencyResearch IrelandDate From2025Date To2029
Recognition
- Member of the Young Section of the Irish Statistical Society
- Member of the Irish Statistical Association
- Member of the Italian Statistical Society 2021
- Member of the Classification and Data Analysis Group (CLADAG)
- Journal reviewer - Statistics and Computing
- Journal reviewer - Annals of Applied Statistics
- Journal reviewer - Journal of the Royal Statistical Society Series A
- External member in an hiring panel for an Assistant Professor in Statistics position at Maynooth University 24/02/2025
- External member in the Board of Assessors for the Assistant Professor of Agri-Food Systems Data Science post in University College Dublin 25/04/2025
- Journal reviewer - Journal of the American Statistical Association
- Journal reviewer - Journal of the Royal Statistical Society Series C
- Journal reviewer - Network Science