Our group and research
We aim to further our understanding of the genome by integrating large-scale genomic datasets. We develop computational methods to exploit multi-dimensional genomic/epigenomic/transcriptomic landscapes to understand cell-type specific or spatio-temporal gene regulation. Using computational integrative approaches, we also study transcriptional mechanisms controlling cell differentiation and cell identify. Our areas of research include studying gene regulations in adipocyte, liver, cancer cells and stem cell differentiation.
For this, we develop computational algorithms for various genome scale datasets including DNA methylation, single cell genomics, spatial genomics, ChIP-exo, GROseq and HiC. More information is found at https://www.bric.ku.dk/research-groups/Research/won-group/.
We are focusing on developing new computational algorithms for studying single cell genomics data. We also collaborate with scientists from various areas including developmental/cancer biologists for single cell data analysis.
Your key tasks as a PhD student at SUND are:
- Carry through an independent research project under supervision
- Complete PhD courses or other equivalent education corresponding to approx. 30 ECTS points
- Participate in active research environments including a stay at another research team
- Obtain experience with teaching or other types of dissemination related to your PhD project
- Teach and disseminate your knowledge
- Write a PhD thesis on the grounds of your project.