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Anneleen Daemen - Senior Scientist, Bioinformatics & Computational Biology

Anneleen Daemen

Senior Scientist, Bioinformatics & Computational Biology

Years at Genentech
Awards & Honors

A dual interest in mathematics and medicine led me, via a Master in Electrical Engineering with medicine/biology courses, to the field of Bioinformatics. My PhD work was centered around large-scale data integration and development of predictive machine learning algorithms for cancer. In 2010, I further pursued my research interests as a postdoctoral fellow at Lawrence Berkeley Lab and the University of California, San Francisco, in the labs of Joe Gray and Laura van ’t Veer. Advanced analytics approaches led me to identify a DNA-repair deficiency signature for prediction of response to PARP inhibition that retrospectively validated in the I-SPY2 breast cancer trial.

Keen to pursue research in an agile environment with impact on patient care, I joined Genentech in 2012 and initially worked on tumor metabolism programs. Since 2014, I have been focused on translational research for breast and lung cancer, with major emphasis on exploiting cancer heterogeneity to enhance our understanding of biology, identify therapeutic vulnerabilities, and inform clinical development. This work is enabled through close collaboration with scientists in Research Molecular Oncology and Oncology Biomarker Development.

Featured Publication

Pan-Cancer Metabolic Signature Predicts Co-Dependency on Glutaminase and De Novo Glutathione Synthesis Linked to a High-Mesenchymal Cell State.

Cell Metab. 2018 Sep 4;28(3):383-399.e9.

Daemen A, Liu B, Song K, Kwong M, Gao M, Hong R, Nannini M, Peterson D, Liederer BM, de la Cruz C, Sangaraju D, Jaochico A, Zhao X, Sandoval W, Hunsaker T, Firestein R, Latham S, Sampath D, Evangelista M, Hatzivassiliou G.