Cancer Systems Biology
Curtis Lab
We develop and apply experimental, computational, and AI approaches to improve the diagnosis, treatment, and early detection of cancer — quantifying and forecasting tumor evolutionary dynamics, mapping genotype to phenotype in malignancy, and building robust biomarkers to inform treatment decisions.
Latest
A lab study in Nature Cancer links the spatial immune landscape of metastatic triple-negative breast tumors to immunotherapy response.
Christina Curtis elected a Fellow of the AACR Academy, recognizing scientists whose work has driven major breakthroughs in cancer research.
Christina Curtis awarded the 2025 Memorial Sloan Kettering Paul Marks Prize for Cancer Research, for computational approaches to tumor evolution and breast cancer subtyping.