Chiara Romualdi

Chiara Romualdi

Professor of Molecular Biology

University of Padova

Education and research activity

BS degree with honours in Statistical Sciences in 1996 at the University of Padova.

Ph.D. degree in Statistic at the University of Padova in 2001. The research activity pertained to multivariate statistical methodologies applied to population genetics. In particular, the performance of different machine learning techniques, specifically adapted to the problem of the affiliation of multilocus genotypes, has been tested through simulated and real data.

PostDoc fellow at the Department of Biology of the University of Padova from 2001 to the end of 2004. The focus of the research was on the study and development of new statistical methodologies in the field of gene expression data derived either by tag sampling and microarray experiments. At the same time, she starts working on bioinformatics for the development of open source databases and web tools for the analysis of molecular data from high-throughput technologies.

Assistant Professor of Statistic at the University of Padova from January 2005 to November 2014.

Associate Professor of molecular biology at the University of Padova from November 2014 to January 2023.

Since January 2023 she is Professor of molecular biology at the University of Padova.

Grants and Funding

Projects as PI

AIRC (2018-2023) (PI)

AIRC (2016-2018) “Integrated landscape analysis of genomic and transcriptomic defects to predict serous ovarian cancer progression” (PI)

CARIPLO banking foundation (2013-2016) “Clinical, pathological and prognostic impact of transcriptional alterations in epithelial ovarian cancer.” (Unit PI)

CARIPARO banking foundation excellence grant (2012-2015) “Role of coding and non-coding RNA in chronic myeloproliferative neoplasms: from bioinformatics to translational research” (Unit PI) – Project web page

University of Padova – CPDA119031 (2012-2014) -“A system biology approach to studying epithelial ovarian cancer” (PI)

CARIPARO banking foundation excellence grant (2006-2009) “A computational approach to the study of skeletal muscle genomic expression in health and disease” (Unit PI).

Projects partnership

– PRIN (2003-2005) “Likelihood methods in the analysis of gene expression data”, – PRIN (2005-2007) “Inference for microarray data: networks, meta-analysis, integration”, – FIRB “Functional genomics of cardiac and muscular disorders: discovery of new molecular markers and new therapeutic targets”, – FIRB (2004-2006) “Functional analysis of gene networks involved on skeletal muscle response to differentiation, stress and mechanical stimuli”, – PRIN (2006-2008) “Genomic approaches to the study of muscular plasticity” – Telethon grant n. B057-II “Functional Genomics of skeletal muscle”, – University of Padova grant Progetto di Ateneo (2006-2008) “Statistical methods for multiple hypothesis testing for gene expression analysis ” – University of Padova grant Progetto di Ateneo (2009-2011) “Novel statistical methods for Gene Set analysis” – Association Française contre les Myopathies (AFM) (2008-2010) “Identification of the autoantibody signature in inflammatory myopathies” – CARIPARO banking foundation excellence grant “FIBRE-GEXP – Microgenomics of individual myofibres: high resolution expression profiles in skeletal muscle physiology and pathology” (2009-2012) – AIRC Foundation (2011-2014) “Analysis of microRNA in first stage epithelial ovarian cancer and correlation with clinical and pathological data” – AIRC project (2013-2016) “Predicting tumor development risk by an integrated approach linking diet-related inflammation to colon cancer” – EPIGEN (2013-2016) Chronic disruption of the circadian rhythmicity and chromatin epigenetic modifications in the model organism Drosophila melanogaster”

Education
  • PhD in Statistics, 2001

    University of Padova

  • BSc in Statistical Sciences, 1996

    University of Padova