Vivian Brandenburg

I’m a data enthusiast, interested in deciphering hidden information and combining them with findings from life sciences. My research focuses on RNA secondary structures and Deep Learning approaches to decipher their regulatory roles in the cell. Currently I am working as a postdoc in the Bioinformatics Group of Axel Mosig at the Ruhr University Bochum.

I developed a pre-training approach which combines the thermodynamics model for RNA structure with state-of-the-art Deep Learning methods. I used the pre-training for TermNN, which provides Deep Learning models for the prediction of intrinsic transcription terminators in bacteria.

Additionally, I worked developed the global structure probing method Lead-Seq in the Microbiology Group of Franz Narberhaus. I used the resulting Lead-Scores for the identification of RNA thermometers. I also contributed to the investigation of regulatory sRNAs with my knowledge about RNA sequencing.