Veronica Vinciotti

1999 -2002: Ph.D in Statistics, Imperial College London, UK

1995- 1999: First degree in Mathematics, University of Perugia, Italy

2020 - : Associate Professor, Department of Mathematics, University of Trento

2017-2020: Reader in Statistics, Department of Mathematics, Brunel University London

2012-2017: Senior Lecturer in Statistics, Department of Mathematics, Brunel University London

2007-2012: Lecturer in Statistics, Department of Mathematics, Brunel University London

2003-2007: Research Fellow in Bioinformatics, Brunel University London

Research Interests:

• Network science
• Graphical models
• High-dimensional statistics
• Biostatistics

Publications from Google Scholar: https://scholar.google.co.uk/citations?user=KX-0T3oAAAAJ&hl=en

R Packages:

1. cglasso (glasso under censoring): https://cran.r-project.org/web/packages/sglasso
2. sglasso (glasso under structural equality constraints): https://cran.r-project.org/web/packages/sglasso
3. neat (network enrichment analysis): https://cran.r-project.org/web/packages/neat
4. enRich (ChIP-seq binding identification): https://cran.r-project.org/web/packages/enRich

Editorial Work:

2023- : Editor of Statistica Neerlandica

Guest editor of the JRSS-A special issue on Networks and Society (May 2023)

Guest editor of the Statistica Neerlandica special issue on Statistical Network Science (August 2020)

Guest editor of the JRSS-C special issue on Statistical Network Science and its Applications (April 2017)

2018–22: Associate Editor JRSS-A

2013–17: Associate Editor JRSS-C

External Recognition:

2023: Member of the Academy of Finland's Research Council for Natural Sciences and Engineering evaluation panel (Applied Mathematics and Statistics)

2021, 2022, 2023: Vice-Chair of the Swedish Research Council evaluation panel (Computational Mathematics, Data Science, and Statistics)

2018, 2019: Member of the Swedish Research Council evaluation panel (Mathematics)

2016–23: Member of the Scientific Advisory Board of BigInsight (Oslo)

Research Funding:

Short-Term Scientific Mission (STSM) coordinator of COSTNET, the COST Action CA15109 (2016-2020)

PI on the BBSRC grant Micro-quantitative and macro-qualitative gene network models from ChIP-sequencing and microarray data (2011-2013). Postdoc: Yanchun Bao

PhD students:

• Matteo Framba (2021 -) "Modelling dynamic networks with differential equations"
• Paolo Berta (2015-2018) "Statistical evaluation of quality in healthcare"
• Alina Peluso (2014-2017) "Novel Regression Models for Discrete Response"
• Hamed Haselimashhadi (2013-2016) "Novel Regression Models for Dynamic and Discrete Response Data Under L1 and Differentiable Penalties"
• Hussein Hashem (2010-2014) "Regularized and Robust Regression Methods for High-dimensional Data"

2023-: Società Italiana di Statistica (SIS)

2021-: Member of the Committee on Statistical Network Science of the Bernoulli Society

2021- : Ordinary member of the Bernoulli Society

2015: Chair of the General Applications Section of the Royal Statistics Society (Now Emerging Applications Section). Ordinary committee member between 2013 and 2017

2012 - Ordinary member of the Royal Statistical Society (RSS)

Selected Talks:

• Random graphical model of microbiome interactions in related environments. IMACS2023, Rome (IT)
• Random graphical model of microbiome interactions in related environments. CEN2023, Basel (CH)
• Network models for high-dimensional dependency structures. Statistics and Data Science Conference, Pavia (IT), 2023
• Cultures as networks of cultural traits: A unifying framework for measuring culture and cultural distances. FIW Research Conference 2023, Wien (AT)
• Hierarchical graphical modelling of count metagenomic data, CMStatistics 2022, London (UK)
• Hierarchical graphical modelling of microbiome interactions in related environments, IWSM 2022, Trieste (IT)
• Bayesian graphical modelling of counts via a discrete Weibull distribution, ISBA 2021 (online)
• Accounting for network effects in credit risk modelling, STOR-i 2020, Lancaster (UK)
• Identifying potentially overlapping communities from two-mode networks, RSS2019, Belfast (UK)
• Network inference in genomics under censoring, Women in Networks Workshop, Leeds (UK)
• Sparse graphical models in genomics: an application to censored qPCR data, CIBB2018, Lisbon (PT)
• Identifying overlapping terrorist cells from the Noordin Top actor-event network, NetSci2018, Paris (FR)
• Credit risk modelling via efficient network-based inference, CMStatistics2017, London (UK)
• Mixture model under overlapping clusters: an application to network data, CLADAG2017, Milan (IT)
• Structured graphical lasso with applications in biology and finance, ISI2017, Marrakesh (MAR)
• Sparse Gaussian graphical models for dynamic gene regulatory networks, Dynamic Networks, Isaac Newton Institute, Cambridge (UK), 2016
• Credit Risk Model with Network Effects for a Large Panel of Companies, CMStatistics2016, Seville (ES)
• Making sense of large genomic networks, CMStatistics2015, London (UK)
• Model selection for dynamic regulatory networks under l1 penalty and structural constraints, SSB2014, Warwick (UK)
• Discovery of protein binding patterns by joint modelling of ChIP-seq data, SCO 2013, Milan (IT)
• A Bayesian one-dimensional random field model for ChIP-seq data, RSS2012, Telford (UK)
• Identifying genes with high confidence from small samples, ECAI04, Valencia (ES)
• Looking under the lamppost: matching models to the problem, RSS2002, Plymouth (UK)

Organized Meetings:

• International Workshop on Statistical Modelling (IWSM 2024), Durham, 15-19/7/2024 (Scientific Committee)
• European Meeting of Statisticians (EMS 2023), Warsaw, 3-7 July 2023 (Invited Session on Network Inference and Causality)
• Summer school on Causal Inference, Trento, 11-15 July 2022
• Statistical Network Science, Brunel University London, 7/6/2018
• Modern Statistical Methods in Health and Environment, Brunel University London, 9/7/2017
• Statistical Network Science, Royal Statistical Society, London, 8/5/2017
• Network Science and Its Applications, Isaac Newton Institute, Cambridge, 25-26/08/2016
• Methods for Big Data, Brunel University, 27/6/2016
• RSS Ordinary Meeting, Royal Statistical Society, 13/05/2015
• IDA 2014, Leuven, 30/10-01/11/2014 (Program Chair)
• Statistical Inference of Networks, Royal Statistical Society, London, 22/05/2014
• Statistical Network Science with Applications, Lorenz Centre, Leiden, 2-5/04/2013

2017-19: External examiner for the MSc in Applied Statistics at Birkbeck, University of London

2015-19: External examiner for the BSc in Mathematics and Statistics at Birkbeck, University of London