Tjorben Nawroth

• Bioinformatician / Computational Biologist
• Doctoral Researcher in Project P09 (Application of artificial intelligence for the analysis of multi-parameter cytometric data sets of rare B cell subsets) of the RTG 3095 (Protective and pathogenic antibody responses at barrier organs)

• Tjorben Nawroth initially completed an apprenticeship as a biology lab assistant at the Max Planck Institute for Evolutionary Biology (MPI-EB) in Plön, before graduating with a Bachelor’s degree in Molecular Life Science at the University of Lübeck in 2023. For his Bachelor’s thesis he benchmarked bioinformatics tools in the MIRACUM-Pipe, a standardized pipeline for analysis of oncological WES data, as part of the Medical Systems Biology working group headed by Prof. Dr. Hauke Busch.
• During his subsequent Master’s studies, he further shifted his focus from experimental wet lab work to bioinformatics and computational biology, working on projects including segmentation of insect nervous systems and single-cell transcriptomics. He completed his Master’s thesis in the bioinformatics research group at the MPI-EB under the supervision of Prof. Dr. Bernhard Haubold, developing “Vitax”, a web-based visualization tool for taxonomic data.
• After successfully completing his Master’s degree in January 2026, he rejoined the Medical Systems Biology working group to pursue his PhD.
• As a doctoral researcher in the RTG 3095, his work in subproject P09 focuses on the application of machine learning in the analysis pipeline of high-dimensional flow cytometry data for automated, accurate identification of rare B cell and plasma cell populations.

TBA