Charlotte M. Niemeyer

This study identifies specific mutational sequences in congenital neutropenia patients that predict leukemic transformation.

The paper develops a hierarchical classification framework combining epigenetic and genetic data with machine learning to improve diagnosis and risk stratification in hematologic malignancies.

This study identifies PTPN11/SHP2-driven adenosine signaling as a mechanism of immune escape in JMML, showing that CD39 inhibition can enhance T cell responses and reduce myeloproliferation.

This study shows that GATA2 deficiency leads to hematological issues through bone marrow failure and maladaptation, with leukemia arising from genomic instability and proliferation defects.