MRC WIMM Group Leader
Valentina is a mathematician/statistician by training with experience in large-scale analyses of quantitative genetic variation and relevant statistical method development (e.g. multivariate association analysis, missing value imputation, functional enrichment analysis).
Valentina’s current interests lie in the development and application of new computational and statistical approaches aimed at utilizing high-dimensional datasets in biology and medicine to their full potential (e.g. by integration across different layers of information). In particular, she is keen to develop methodological advancements to accelerate the discovery and interpretation of multidimensional phenotypic consequences of common and rare genetic variation as well as to use genetic information to infer direction of causality between different layers of phenotypic information.