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Dr. Silvia D'Angelo

Assistant Professor (Statistics)
      
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Dr. Silvia D'Angelo

Assistant Professor (Statistics)

 dangelos@tcd.ie

 


Hi! I am a Lecturer/ Assistant Professor in Statistics in the School of Computer Science and Statistics at Trinity College Dublin, where I conduct research in Statistics and teach Statistics to students. 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' My Research focuses on developing novel statistical methods starting from data-motivated problems, where either the existing methods are not adequate, or there is no methodology for data analysis. I am particularly interested in the application of Bayesian inference and latent variable models in the areas of statistical network analysis, statistical modelling or nutrition and metabolomics and, since recently, statistical modelling for applications in ecology and environmental sciences. . I am currently in the committee of the Irish Statistical Association (ISA), serving as Ordinary member.
Project Title
 T-DIET: developing novel statistical methods for the analysis of longitudinal dietary patterns and their association with health outcomes
From
2025
To
2029
Summary
Funding Agency
Research Ireland

Details Date
Journal reviewer - Annals of Applied Statistics
Journal reviewer - Journal of the Royal Statistical Society Series A
Journal reviewer - Statistics and Computing
Journal reviewer - Journal of the Royal Statistical Society Series C
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
External member in an hiring panel for an Assistant Professor in Statistics position at Maynooth University 24/02/2025
Journal reviewer - Journal of the American Statistical Association
Journal reviewer - Network Science
Language Skill Reading Skill Writing Skill Speaking
English Fluent Fluent Fluent
Italian Fluent Fluent Fluent
Spanish Medium Basic Medium
Details Date From Date To
Member of the Italian Statistical Society 2015 2021
Member of the Irish Statistical Association 2019
Member of the Young Section of the Irish Statistical Society 2019
Member of the Classification and Data Analysis Group (CLADAG) 2025
David O'Sullivan, James Sweeney, Shirin Moghaddam, Kevin Burke(ed.), 39th International Workshop on Statistical Modelling, Limerick, Ireland, 13-18 July 2025, 2025, Notes: [chrome-extension://efaidnbmnnnibpcajpcglclefindmkaj/https://iwsm2025.ie/wp-content/uploads/2025/07/IWSM2025_Limerick_Proceedings.pdf], Proceedings of a Conference, PUBLISHED  URL
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 - 64, Journal Article, PUBLISHED  DOI
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, 2023, Notes: [https://doi.org/10.1093/jrsssa/qnac011], Journal Article, PUBLISHED  DOI
Isobel C. Gormley; Silvia D'Angelo; Lorraine Brennan, Combining Biomarker and Food Intake Data, Wiley StatsRef: Statistics Reference Online, 2022, p1 - 11, Notes: [https://doi.org/10.1002/9781118445112.stat08361], Journal Article, PUBLISHED  DOI
Silvia D'Angelo, Sender and receiver effects in latent space models for multiplex data, CLADAG 2021, Florence (IT), 9-11 September 2021, 2021, Conference Paper, PUBLISHED  DOI
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 - 2060, Journal Article, PUBLISHED  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 - 9, Journal Article, PUBLISHED  DOI
Silvia D'Angelo; Claire Gormley; Lorraine Brennan , 'multiMarker: Latent Variable Model to Infer Food Intake from Multiple Biomarkers', 2021, -, Software, PUBLISHED  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 - 341, Journal Article, PUBLISHED  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 , 2019, Conference Paper, PUBLISHED  URL
  

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Silvia D'Angelo, 'MultiMarker (Web Application)', 2020, -, Notes: [https://adiet.shinyapps.io/multiMarker/], Software, PUBLISHED
D'Angelo Silvia, Michael Fop, 'spaceNet: Latent Space Models for Multidimensional Networks (R package)', 2019, -, Notes: [https://CRAN.R-project.org/package=spaceNet], Software, PUBLISHED
Silvia D'Angelo, 'multiMarker: Latent Variable Model to Infer Food Intake from Multiple Biomarkers (R package)', 2019, -, Notes: [https://CRAN.R-project.org/package=multiMarker], Software, PUBLISHED
Silvia D'Angelo, 'Bio-Intake', 2019, -, Notes: [https://adiet.shinyapps.io/Bio-Intake/], Software, PUBLISHED