Imperial College London

DrSaraFontanella

Faculty of MedicineNational Heart & Lung Institute

Non-Clinical Lecturer in Biomedical Modelling
 
 
 
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Contact

 

s.fontanella

 
 
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Location

 

108Sir Alexander Fleming BuildingSouth Kensington Campus

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Summary

 

Summary

I joined the Department of Medicine in November 2016 as a Research Associate in Statistical Machine Learning.

My research interests are Multivariate Statistics and Data Analysis. In particular, the main themes concern dimensionality reduction methods for high-dimensional data and sparse latent variable models.

I did my Ph.D. at the School of Advanced Studies G. d'Annunzio, Chieti (Italy). My thesis dealt with “Graphical models for spectral nonlinear dimensionality reduction”, and the main aim was to infer the possible relationships existing in high-dimensional data.

Prior to joining Imperial College, I was a postdoc at The Open University. I was working on a three year project entitled “Sparse factor analysis (FA) with application to large data sets” under the supervision of Dr N. Trendafilov.  The aim of the research was to develop new approaches for Sparse FA. Several sparsity-inducing approaches. We applied both L1 penalty terms and approaches based on Bayesian statistics and Markov chain Monte Carlo methods, which are very useful especially in the context of high-dimensional data.

Currently, I am working within the multidisciplinary Study Team for Early Life Asthma Research (STELAR). My role is to implement and develop innovative computational statistical methods to identify novel subtypes of childhood asthma, enabling investigation of subtype-specific environmental and genetic associates and discovery of distinct pathophysiological mechanism.

I am also interested in the development and application of exploratory multivariate statistics and machine learning techniques in the context of zero-inflated data.

Selected Publications

Journal Articles

Fontanella L, Sarra A, Valentini P, et al., 2018, Varying levels of anomie in Europe: a multilevel analysis based on multidimensional IRT models, ASTA-Advances in Statistical Analysis, Vol:102, ISSN:1863-8171, Pages:589-610

Bahri R, Custovic A, Korosec P, et al., 2018, Mast cell activation test in the diagnosis of allergic disease and anaphylaxis, Journal of Allergy and Clinical Immunology, Vol:142, ISSN:0091-6749, Pages:485-496.e16

Gore C, Gore RB, Fontanella S, et al., 2018, Temperature-controlled laminar airflow (TLA) device in the treatment of children with severe atopic eczema: Open-label, proof-of-concept study, Clinical and Experimental Allergy, Vol:48, ISSN:0954-7894, Pages:594-603

Trendafilov NT, Fontanella S, Adachi K, 2017, Sparse Exploratory Factor Analysis., Psychometrika

Villano P, Fontanella L, Fontanella S, et al., 2017, Stereotyping Roma people in Italy: IRT models for ambivalent prejudice measurement, International Journal of Intercultural Relations, Vol:57, ISSN:0147-1767, Pages:30-41

Fontanella S, Fontanella L, Ippoliti L, et al., 2015, Learning Non-linear Structures with Gaussian Markov Random Fields, Procedia Environmental Sciences, Vol:26, ISSN:1878-0296, Pages:38-44

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