Keynote Talk by Marta MILO, University of Sheffield (UK)
<Bioinformatics, Computational Biology, gene expression analysis, microRNA, Next Generation Sequencing>
Bio: Marta Milo is Lecturer in Computational Biology at the Department of Biomedical Science and is group leader at the Centre for Stem Cell Biology at the University of Sheffield. She was a Bioinformatics research fellow at the Sheffield Teaching Hospitals NHS Trust. She holds a PhD in Applied Mathematics and Computer Science from the University of Naples. The main focus of her professional career has been to develop truly interdisciplinary skills, complementing and refining her bioinformatics skills with a deep understanding of the biological 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. Her work has been concentrating on the analysis and interpretation of high-throughput biological data, with the aim to produce feasible and robust hypotheses for a deeper understanding of the biological systems under study. In quantitative sciences numerical knowledge is not enough to understand and predict systems behaviours that are only partially observed. Since the beginning of 20th century it was clear that predictions of data required an additional “knowledge” to become meaningful. This knowledge needed to be quantified in a way that reflects our prior knowledge of the systems and what we were able to measure. It signed the start of introducing the concept of quantified uncertainty. Marta’s 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.