RNA-seq, scRNA-seq, ChIP-seq, ATAC-seq, WGS, MethylationEPIC, CRISP-Cas9, clinical bioinformatics, epigenomics, biostatistics, machine learning, teaching
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Olga has a PhD in bioinformatics from the University of Birmingham, UK. She is interested in turning omics data into knowledge, especially in the context of clinical research.
Olga has worked on a series of projects at the intersection of bioinformatics and statistics, across many data types, both within methods application and development. During her PhD studies, for instance, Olga has worked with mass-spectrometry based metabolomics to optimize handling of missing data, and improve the outcomes of liver transplantations. As a medical statistician at the University of Oxford she was involved in methodological studies addressing visual search strategies in cancer diagnostics and as a postdoctoral researcher at Karolinska Institute, she was developing methods to identify novel driver genes in cancer.
At NBIS Olga provides bioinformatics support for a wide range of next generation sequencing projects, with a focus on transcriptomics data in a clinical research. She is also interested in sharing the knowledge and involved in many teaching activities, in particular co-organizing Biostatistics Essentials course.