Area of research
Cancer Research · Molecular Biology
Research interest
Research interests include Cancer Genomics and Diagnostics, Single-cell and spatial transcriptomics, Evolution and Genetic Dynamics, and Genetic factors in colorectal cancer.
Ongoing genome doubling shapes evolvability and immunity in ovarian cancer
CINner: Modeling and simulation of chromosomal instability in cancer at single-cell resolution
Cancer Research in the Age of Spatial Omics: Lessons from IMAXT
Single-cell mtDNA dynamics in tumors is driven by coregulation of nuclear and mitochondrial genomes
Crowd-sourced benchmarking of single-sample tumor subclonal reconstruction
CINner: modeling and simulation of chromosomal instability in cancer at single-cell resolution
Author Correction: The repertoire of mutational signatures in human cancer
Imaging and Molecular Annotation of Xenographs and Tumours (IMAXT): High throughput data and analysis infrastructure
Multimodal data integration using machine learning improves risk stratification of high-grade serous ovarian cancer
Ovarian cancer mutational processes drive site-specific immune evasion
Single-cell genomic variation induced by mutational processes in cancer
Fundamental immune–oncogenicity trade-offs define driver mutation fitness
Author Correction: Inferring structural variant cancer cell fraction
Author Correction: Reconstructing evolutionary trajectories of mutation signature activities in cancer using TrackSig
Characterizing genetic intra-tumor heterogeneity across 2,658 human cancer genomes
Three-dimensional imaging mass cytometry for highly multiplexed molecular and cellular mapping of tissues and the tumor microenvironment
Clonal fitness inferred from time-series modelling of single-cell cancer genomes
Landscapes of cellular phenotypic diversity in breast cancer xenografts and their impact on drug response
The repertoire of mutational signatures in human cancer
The evolutionary history of 2,658 cancers
Imaging mass cytometry and multiplatform genomics define the phenogenomic landscape of breast cancer
Inferring structural variant cancer cell fraction
Reconstructing evolutionary trajectories of mutation signature activities in cancer using TrackSig
Characterizing Genetic Intra-Tumor Heterogeneity Across 2,658 Human Cancer Genomes
Characterizing genetic intra-tumor heterogeneity across 2,658 human cancer genomes
Portraits of genetic intra-tumour heterogeneity and subclonal selection across cancer types
2018cited by 44position: middle
The evolutionary history of 2,658 cancers