Milo, Marta - University of Sheffield - Department of Biomedical Science

个人简介

2012-present: Lecturer in Computational Biology 2008-2012: Bioinformatics Research Fellow, NIHR Cardiovascular Biomedical Research Unit, Sheffield Teaching Hospitals NHS Trust. 2004-2008: Wellcome Trust Research Fellow, University of Sheffield, UK. 2003-2004: Postdoctoral Researcher at the Department of Biomedical Science, University of Sheffield, UK. 2001-2003: Postdoctoral Fellow at the Dept of Computer Science, University of Sheffield, UK. 1996-2000: PhD in Applied Mathematics and Computer Science at the University of Naples 'Federico II'. 1995-1996: Computer Science and Statistics Consulting at FORMEZ c/o OLIVETTI Research Centre, Arco Felice, Italy. 1994-1995: Qualification in Computer Science and Statistics applied to Public Administrative systems, at FORMEZ c/o OLIVETTI Research Centre, Arco Felice, Italy.. 1989-1994: Degree in Mathematics, University of Naples "Federico II'', Italy.

研究领域

The main aim in my professional career has been to develop truly interdisciplinary skills, complementing and refining my bioinformatics skills with a deep understanding of the biological and experimental nature of the data collected. This is to better identify limitations in the experimental designs and better quantify variations in the data collection and validation. My work, so far, has been concentrating on the analysis and interpretation of high-throughput biological data, with the aim to produce feasible and robust hypothesis for a deeper understanding of the biological systems under study. My research mainly focuses on developing computational tools that are assisting in improving accuracy of both low-level and downstream analysis of biological data. In collaboration with PUMA (Propagating Uncertainty in Microarray Analysis) group we have developed a family of probabilistic models, that estimate gene expression levels with credibility intervals to quantify the measurement variance associated with the estimates of target concentration within a sample. This Project was developed into a software package: puma, that is fully integrated in Bioconductor – Open Source Software for Bioinformatics. I am currently working to extend the use of probabilistic models to Next Generation Sequencing data. This is done in close collaboration with the PUMA project to extend it to Next Generation Sequencing (NGS) data applications and with the newly formed Sheffield Bioinformatics Hub. My main research interests are: Genetic profiling of mammalian ear Trascriptomic changes in stem cell in 3D culture. Data integration methods for large data

近期论文

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Walters K, Milo M & boggis EM (2016) eQuIPS: eQTL analysis using informed partitioning of SNPs. Genetic Epidemiology. View this article in White Rose Research Online Rodríguez-de la Rosa L, Sánchez-Calderón H, Contreras J, Murillo-Cuesta S, Falagan S, Avendaño C, Dopazo J, Varela-Nieto I & Milo M (2015) Comparative gene expression study of the vestibular organ of the Igf1 deficient mouse using whole-transcript arrays. Hearing Research, 330, 62-77. Magariños M, Milo M & Varela-Nieto I (2015) Editorial: Aging, neurogenesis and neuroinflammation in hearing loss and protection. Frontiers in Aging Neuroscience, 7. Raman R, Allen SP, Goodall EF, Kramer S, Ponger LL, Heath PR, Milo M, Hollinger HC, Walsh T, Highley JR, Olpin S, McDermott CJ, Shaw PJ & Kirby J (2015) Gene expression signatures in motor neurone disease fibroblasts reveal dysregulation of metabolism, hypoxia-response and RNA processing functions. Neuropathol Appl Neurobiol, 41(2), 201-226. View this article in White Rose Research Online Boggis EM, Milo M & Walters K (2014) Exploiting adaptive Bayesian regression shrinkage to identify exome sequence variants associated with gene expression. Springer Proceedings in Mathematics and Statistics, 63, 135-138.