Project: miRNA-based biomarker development in non-small cell lung cancer for better diagnosis and prognosis
Department: Department of Clinical Molecular Biology
Supervisor: prof. Jacek Nikliński, PhD habil.
Co-supervisor: visiting prof. Attila Gyenesei, PhD
I graduated as a molecular biologist from the University of Szeged in 2014. I worked on my Master thesis at the Bay Zoltán Non-profit Ltd. in the field of metagenomics, where I first encountered the next generation sequencing (NGS) application methods. Also, I started learning the data analysis methods. In mid-2015, I started work at the Vienna BioCenter Core Facilities as a bioinformatician. I got to know more sequencing methods such as Illumina short read and PacBio long read technologies. I learned more bioinformatic approaches to analysis of various NGS data and I developed my own workflows for genome/transcriptome assembly and annotation, variant calling and other structural variation detection. Simultaneously, I learned several programming languages, e.g. Shell, Python and R for statistics.
Personally I am interested in developing new bioinformatic pipelines for data analysis in order to get more solid results. Sometimes NGS data as such will not suffice for true experimental testing, and we have to integrate data from other sources, such as meta data, other "omics data" and image data, to see a bigger picture. It is very challenging to combine these various datasets. One of my research goals is to find the best way to integrate data from different sources, so that we can build better prediction models or produce more accurate predictions. Also, I would like to learn more statistical approaches for extended analysis of the results.