• PhD (Computational Biology), Imperial College London
• Masters degree (Mathematics), Vilnius University
• Bachelor degree (Mathematics and Applications of Mathematics), Vilnius University

Dr Justina Žurauskienė obtained formal training in mathematics at Vilnius University (2010).

During her master’s studies she completed four months Erasmus Internship program at The Theoretical Systems Biology Group, Imperial College London, where she remained to pursue a doctorate in computational biology (2014).

Subsequently she undertook a three years postdoctoral research position in a single cell gemonics at The Genomic Medicine Group, The Wellcome Trust Centre for Human Genetics, University of Oxford (2017).

In 2017 she joined University of Birmingham as a BRIDGE fellow focusing on population dynamics and women’s health research.

Bioinformatics MSc/Diploma/Certificate (statistical machine learning)

Dr Žurauskienė’s research is broadly focused on development of new statistical and computational tools to address challenges posed by large-scale and high-dimensional data (e.g. genomic data). Modelling dynamical systems that involve complex interactions between several components such as genetics, environment and life style; also teasing apart scientifically interesting patterns and trends from natural biological heterogeneity and underlying confounding factors. Methodological applications are focusing on women’s health research, in particular maternal health studies and child development.

In the past Dr Žurauskienė’s research was concerned with modelling various processes at the single cell level, developing tools for single cell data analysis using Bayesian non-parametric methods, developing clustering algorithms for data integration and hierarchical modelling.