I graduated as MSc in Biochemistry from University of Bonn, Life & Medical Science Institute in March 2021. During my master’s studies I started working in the field of bioinformatics, more specifically I was studying various disease models in human whole blood using computational tools dedicated for single-cell RNA sequencing. Here in CSS, I am mainly responsible for establishing the computational analysis pipeline of next generation sequencing data and applying it in clinical oncology.

  • Apr 2021 – Present. PhD student, Bioinformatician. Zealand University Hospital, Center for Surgical Science (CSS). Køge, Denmark
  • Aug 2020 – Feb 2021. Graduate Student (Master’s thesis). University of Bonn, Life & Medical Science (LIMES) Institute & DZNE. Bonn, Germany
  • Mar 2020 – May 2020. University of Bonn, Life & Medical Science (LIMES) Institute & DZNE. Bonn, Germany
  • Aug 2019 – Sep 2019. Graduate Student Research Assistant. Semmelweis University, Department of Biophysics and Radiation Biology. Budapest, Hungary
  • Nov 2018 Mar 2021. Graduate Student Assistant. Center of Advanced European Studies and Research (caesar). Bonn, Germany
  • Nov 2017 – Oct 2018. Biomaterial Science Engineer. Baltic Orthoservice, Department of Research & Development (R&D). Kaunas, Lithuania
  • Jul 2017 – Aug 2017. Undergraduate Student Research Assistant. Ege University, Faculty of Engineering. Izmir, Turkey
  • Apr 2021 – Present. PhD, Bioinformatics. University of Copenhagen, Department of Clinical Medicine & Department of Immunology and Microbiology. Copenhagen, Denmark
  • Oct 2018 – Mar 2021. MSc, Biochemistry. University of Bonn, Life & Medical Science (LIMES) Institute. Bonn, Germany
  • Sep 2014 – Jun 2018. BSc, Materials and Nanotechnologies. Kaunas University of Technology (KTU), Faculty of Mathematics and Natural Sciences. Kaunas, Lithuania

My research mainly focuses on the computational analysis of multimodal omics data. Here in CSS, we are initially planning to combine transcriptomics, spatial transcriptomics, and proteomics data to uncover the underlying cellular and molecular mechanisms in colorectal cancer patients. Finally, the multimodal omics data analysis pipeline will be integrated into the OMOP common data model.

Research keywords

#personalizedmedicine #bioinformatics #transcriptomics #spatialtranscriptomics #colorectalcancer