Ewa Szczurek
埃瓦·什丘雷克
PhD
Associate Professor, Faculty of Mathematics, Informatics and Mechanics数学、信息学与力学学院副教授
👥Biography 个人简介
Ewa Szczurek leads cancer evolution bioinformatics at the University of Warsaw, developing probabilistic and machine learning models to reconstruct cancer progression, infer clonal heterogeneity from sequencing data, and predict cancer evolutionary trajectories from genomic features.
🧪Research Fields 研究领域
🎓Key Contributions 主要贡献
Cancer Progression Modeling
Developed probabilistic graphical models to infer the temporal order of cancer driver mutations from cross-sectional tumor sequencing data, elucidating cancer progression routes.
Tumor Clonal Architecture
Built computational methods to deconvolute mixed tumor cell populations from bulk sequencing data, accurately quantifying subclonal composition and evolution.
Neoantigen-Clonal Dynamics
Investigated the relationship between neoantigen burden, immune selection and clonal evolution in tumors, revealing how immune pressure shapes cancer genomic landscapes.
Representative Works 代表性著作
Modeling mutual exclusivity of cancer mutations
PLOS Computational Biology (2014)
Probabilistic framework to identify mutually exclusive cancer driver gene pairs, revealing pathway-level constraints in tumor evolution.
Bayesian inference of clonal expansions in a dated phylogeny
Bioinformatics (2020)
Statistical approach to reconstruct tumor clonal evolution with temporal resolution from multi-region sequencing.
Tumour neoantigen depletion: implications for cancer immunoediting and immune checkpoint blockade
Nature Genetics (2019)
Analysis demonstrating immune-driven depletion of neoantigens in cancers as evidence for immunoediting shaping tumor evolution.
🏆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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