Vivian Brandenburg

I’m a data enthusiast, interested in deciphering hidden information and combining them with findings from life sciences. I am currently investigating the inference of phylogenetic features with deep learning at the Ruhr University Bochum.

My previous projects focused on RNA secondary structures and deep learning approaches to decipher their regulatory roles in the cell. I developed a pre-training approach which combines the thermodynamics model for RNA structure with machine learning methods to predict intrinsic transcription terminators in bacteria. Additionally, I developed the global structure probing method Lead-Seq and used it for the identification of RNA thermometers. I also contributed to the investigation of regulatory sRNAs with my knowledge about RNA sequencing.