Maximilian Mossner

This paper develops a mathematical framework to infer cancer drug resistance dynamics from genetic lineage tracing and population size data, validated using experimental evolution and single-cell sequencing.

This study demonstrates that adaptive therapy reduces chemotherapy resistance in ovarian cancer by exploiting fitness costs of resistant cells, extending survival in mice and correlating with disease burden in patients.

This paper introduces dATAC, a single-cell multi-omic method for simultaneous whole genome sequencing and chromatin accessibility profiling, revealing genome-epigenome coevolution in colorectal cancer.

This study shows that immune evasion in colorectal cancer follows a 'Big Bang' pattern, where early genetic and epigenetic changes drive subsequent tumor-immune evolution.

LiquidCNA tracks subclonal evolution from liquid biopsies using somatic copy number alterations, revealing new subpopulations in metastatic lung cancer.