Wanwan Ge, is a computational biologist and bioinformatics scientist specializing in machine learning–based genomics and cancer epigenomics. She pursued her early training in Computational Biology and Genome Science, earning her PhD from the Max Planck Institute for Multidisciplinary Sciences in Göttingen, Germany. During her doctoral research, she developed Bayesian and machine learning models for the prediction of transcription factor binding sites.
Following her PhD in 2020, Wanwan joined the Max Planck Institute for Molecular Genetics in Berlin as a Bioinformatics Scientist. Her work focused on the integration of multi-omics data from cancer patients and xenograft models to identify disease-driving mechanisms, with particular emphasis on leukemia and melanoma. In parallel, she worked part-time at ALACRiS Theranostics (2022), contributing to comprehensive molecular tumor profiling and the identification of actionable therapeutic targets.
In February 2023, Wanwan joined the Bosch Health Campus as a Senior Bioinformatics Scientist, where she led cancer epigenomics projects. In December 2023, she was appointed Head of the Bioinformatics Unit at the Robert Bosch Center for Tumor Diseases. In this role, she oversees the development of computational infrastructure and the implementation of robust bioinformatics pipelines to support translational research. Her current work is dedicated to advancing precision oncology through reproducible, high-quality data integration workflows that enable clinically actionable insights for personalized cancer treatment.
Relevant Own Publications
- Pelzer N, Lukic T, Ge W, Schnabel N, Teufel P, Olayioye MA, Najafova Z, Lungu C. PHF19 drives the formation of PRC2 clusters to enhance motility in TNBC cells. Cell Reports 44(10), 116391-116391 (2025). doi: 10.1016/j.celrep.2025.116391.
- Aggrey-Fynn JE, Busch J, Saul D, Rajput A, Willecke K, Klimt N, Rajendran K, Schacherer N, Ge W, Thiel J, Abdelrahman A, Truty MJ, Dong M, Johnsen SA. Epigenetic Context Defines the Transcriptional Activity of Canonical and Noncanonical NF-κB Signaling in Pancreatic Cancer. bioRxiv (2025). doi: 10.1101/2025.06.25.661561.
- Luo Z, Wang H, Ge W, Wang Y, Zhou S, Jing R, Siddique MN, Ma X, Zheng H, Wang X. Chain Length Does Matter: Development of High-Potency QS-21-Based Vaccine Adjuvants. Journal of Medicinal Chemistry 68(2), 1511-1525 (2025). doi: 10.1021/acs.jmedchem.4c02173.
- Ge W, Meier M, Roth C, Söding J. Bayesian Markov models improve the prediction of binding motifs beyond first order. NAR Genom Bioinform. 2021 Apr 20;3(2):lqab026. doi: 10.1093/nargab/lqab026. PMID: 33928244; PMCID: PMC8057495.
- Kiesel A, Roth C, Ge W, Wess M, Meier M, Söding J. The BaMM web server for de-novo motif discovery and regulatory sequence analysis. Nucleic Acids Res. 2018 Jul 2;46(W1):W215-W220. doi: 10.1093/nar/gky431. PMID: 29846656; PMCID: PMC6030882.
- Poehlein A, Alghaithi HS, Chandran L, Chibani CM, Davydova E, Dhamotharan K, Ge W, Gutierrez-Gutierrez DA, Jagirdar A, Khonsari B, Nair KP, Daniel R. First Insights into the Genome of the Amino Acid-Metabolizing Bacterium Clostridium litorale DSM 5388. Genome Announc. 2014 Jul 31;2(4):e00754-14. doi: 10.1128/genomeA.00754-14. PMID: 25081264; PMCID: PMC4118067.