Moritz Gerstung
莫里茨·格尔斯滕
PhD
Group Leader, Computational Cancer Biology计算癌症生物学研究组长
👥Biography 个人简介
Moritz Gerstung at EMBL-EBI and DKFZ develops computational methods to reconstruct cancer evolutionary histories, quantify clonal dynamics across the cancer lifecycle, and analyze mutational signatures in pan-cancer genomic datasets from PCAWG and other large consortia.
🧪Research Fields 研究领域
🎓Key Contributions 主要贡献
Cancer Clonal Dynamics
Developed statistical models to reconstruct the timing and order of driver mutations across cancer evolution, from early initiation through metastasis.
PCAWG Pan-Cancer Analysis
Co-led key analyses in the Pan-Cancer Analysis of Whole Genomes (PCAWG) consortium, characterizing mutational signatures and evolutionary patterns across 38 tumor types.
Mutational Process Inference
Built probabilistic frameworks to decompose tumor mutation catalogues into contributing mutational signatures, linking them to known DNA damage and repair processes.
Representative Works 代表性著作
The evolutionary history of 2,658 cancers
Nature (2020)
PCAWG landmark study reconstructing the evolutionary timelines of 38 cancer types, revealing that driver mutations are acquired years to decades before diagnosis.
Pancancer analysis of whole genomes
Nature (2020)
Pan-Cancer Analysis of Whole Genomes flagship paper characterizing noncoding drivers and genomic landscapes of 2658 cancers.
Reliable detection of subclonal single-nucleotide variants in tumour cell populations
Nature Communications (2012)
Statistical framework for accurate subclonal mutation calling from tumor sequencing data, enabling clonal deconvolution.
🏆Awards & Recognition 奖项与荣誉
📄Data Sources 数据来源
Last updated: 2026-01-15 | All information from publicly available academic sources
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