Beate Vieth

Dr. Beate Vieth is a Researcher and Data Scientist at Ludwig Maximilian University of Munich (LMU), with a focus on genomic technologies and computational biology. She contributes to the Enard Group and Hellmann Group, specializing in RNA sequencing methodologies, single-cell analysis, and evolutionary genetics. Her work addresses challenges in transcriptomics data processing, statistical power in experiments, and cross-species gene expression studies.

Dr. Vieth holds a Dr. rer. nat. degree and has developed innovative tools like Prime-seq and mcSCRB-seq, enhancing sensitivity in RNA sequencing. Her research spans topics including regulatory sequence evolution, marker gene reliability in embryonic models, and the impact of background noise in single-cell data analysis.

Her publications highlight advancements in pipeline design (e.g., zUMIs), statistical frameworks (powsimR), and functional studies of genes like Foxp2 in behavior and neurodevelopment. While no formal awards are listed, her technical contributions to genomic methodologies reflect significant academic impact.

Dr. Vieth’s work bridges computational and experimental biology, with applications in understanding evolutionary processes and improving genomic data analysis workflows.