DIGNOSIS

Androniki has studied statistics and obtained a PhD in Statistical Genetics from the University of Oxford. She has developed a novel method for imputing multi-allelic variants from sequencing data. Her software, MVNcall, has been used in the 1000 Genomes project. She is now working in different initiatives in the private sector as a senior data scientist and advisor.

Emmanouela is a statistical bioinformatician in the Computational Biology Research Group of the Weatherall Institute of Molecular Medicine, University of Oxford. Currently, her expertise is in the analysis of RNA Sequencing data, including single-cell analysis. She completed her DPhil at the Ludwig Institute for Cancer Research at the University of Oxford working on the identification and analysis of single nucleotide polymorphisms (SNPs) that affect cancer in humans. She was involved in numerous projects, working with clinical and genetic data of different types of cancer. Prior to her PhD, she worked as a training fellow in Genetic Epidemiology at the University of Leicester conducting a meta-analysis of Genome Wide Association Studies (GWAS) for pulmonary function.

An expert in machine learning, and data integration. Chrysanthi has a background in informatics and received her PhD in Bioinformatics from King's College London. Her research focused on development and use of machine learning algorithms targeting in data integration, disease stratification, network inference and biomarker discovery. She contributed to over 20 research papers.  She previously worked as a scientist for a global biotechnology company, where she fostered and drove the bioinformatics component of design and development of genetic tests using Next Generation Sequencing.