Dr Marta Milo
Lecturer in Computational Biology
Department of Biomedical Science
The University of Sheffield
Western Bank
Sheffield S10 2TN
United Kingdom
Room: B106 Addison Building
Telephone: +44 (0) 114 222 4673
email : m.milo@sheffield.ac.uk
Career history
- 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.
Education
- 2000: PhD in Applied Mathematics and Computer Science, The University of Naples, “Federico II”
- 1994: “Laurea” in Mathematics, The University of Naples “Federico II”
Research interests
To understand and define the source of uncertainty in quantitative biology it is a key aspect for improving sensitivity and accuracy in the analysis of high throughput genomic data. My research interests focus on developing computational tools, pipelines, appropriate experimental designs and protocols to assist in improving accuracy and sensitivity in the analysis of biological data. Major research activities are:
- propagation of uncertainty, associated to low-level data, in downstream analysis of microarray data;
- quantification and inference of gene expression levels using probabilistic models;
- inference of gene networks using regulatory data and gene expression data;
- Integrated approaches for the analysis of Next Generation Sequencing data.
Activities and distinctions
- Member of PUMA project (Propagating Uncertainty in Microarray Analysis)
- Reviewer for leading scientific journals
- Member of Quantitave Biology Group
Funding
Recent publications
Chen W, Jongkamonwiwat N, Abbas L, Eshtan SJ, Johnson SL, Kuhn S, Milo M, Thurlow JK, Andrews PW, Marcotti W, Moore HD, Rivolta MN (2012, September 12).
Restoration of auditory evoked responses by human ES-cell-derived otic progenitors.
Nature. doi:10.1038/nature11415
Knuckles, P., Vogt, M. A., Lugert, S., Milo, M., Chong, M. M. W., Hautbergue, G. M., . . . Taylor, V. (2012).
Drosha regulates neurogenesis by controlling Neurogenin 2 expression independent of microRNAs.
Nature Neuroscience, 15(7), 962-969. DOI
Rothman, A. M. K., Morton, A. C., Chico, T. J., Crossman, D. C., & Milo, M. (2011, October).
PERIPHERAL WHOLE BLOOD MICRORNA SIGNATURE DIFFERENTIATES BETWEEN MYOCARDIAL INFARCTION AND UNSTABLE ANGINA.
HEART, 97(20), 7. doi:10.1136/heartjnl-2011-300920b.16
Honkela, A., Milo M., Holley, M., Rattray, M., & Lawrence, N. D. (2010).
Ranking of gene regulators through differential equations and Gaussian processes.
In Proceedings of the 2010 IEEE International Workshop on Machine Learning for Signal Processing, MLSP 2010 (pp. 154-159).
Ward JR, Heath PR, Catto JW, Whyte MK, Milo M, Renshaw SA.
Regulation of neutrophil senescence by microRNAs.
PLoS One. 2011 Jan 19;6(1):e15810.
Bina S, Wright VM, Fisher KH, Milo M, Zeidler MP.
Transcriptional targets of Drosophila JAK/STAT pathway signalling as effectors of haematopoietic tumour formation.
EMBO Rep. 2010 Mar;11(3):201-
Chico TJ, Milo M, Crossman DC.
The genetics of cardiovascular disease: new insights from emerging approaches.
J Pathol. 2010 Jan;220(2):186-97. Review.
Milo M, Cacciabue-Rivolta D, Kneebone A, Van Doorninck H, Johnson C, Lawoko-Kerali G, Niranjan M, Rivolta M, Holley M.,
Genomic analysis of the function of the transcription factor gata3 during development of the mammalian inner ear.
PLoS One. 2009 Sep 23;4(9):e7144.
Pearson RD, Liu X, Sanguinetti G, Milo M, Lawrence ND, Rattray M.
puma: a Bioconductor package for propagating uncertainty in microarray analysis.
BMC Bioinformatics. 2009 Jul 9;10:211.
Holley, M.C., Kneebone, A., Milo M.,
Information for gene network in inner ear development: a study centered on transcription factor gata 2, (2006)
Journal of Hearing Research, June, 22.