Associate professor at Sorbonne Paris Nord University and IMI Master’s degree (Paris Cité University et CRI), PhD, Principal Investigator. Her data-driven research spans from biomedical to translational research on at-risk populations. Her goals are to better understand the mechanisms involved in the diseases affecting these vulnerable populations, ranging from basic research to the identification of potential biomarkers. One aspect of her work focuses on the cellular, molecular, immunological, and endocrine mechanisms involved in pathologies with an inflammatory component, in particular chronic lymphocytic leukemia (CLL). A second aspect seeks to evaluate the ability of biomarkers and algorithms derived from artificial intelligence and machine learning to predict disease diagnosis, outcomes, and response to treatments, thereby optimizing patient care. Biomarker identification is carried out using “omics” approaches, as well as specific cellular and molecular biology techniques focused on certain biomarkers of interest.
Work experience
2017-2022 - Head of the Physiology and Cellular Development Department and laboratory, National Institute of Perinatology, Mexico city, Mexico. 2004-2016, Researcher and associate professor, National Institute of Perinatology, Mexico city, Mexico.
Education
2002 - PhD, Biochemistry and Molecular Biology, Pierre et Marie Curie University, Paris VI, France. Molecular Immunology laboratory (Study of the function of the protein tyrosine phosphatase CD45 in T lymphocyte activation: evidence on the key role of the ectodomain in regulating the activation threshold).
Basic research
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Characterization of endosomal trafficking and BCR activation in leukemic B lymphocytes. PI (2024-2030, grant USPN), collaboration with L. Saveanu (CRI)
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Study of alterations in the communication and activation mechanisms of mast cells and B lymphocytes in ageing and neoplastic diseases. PI (France-Mexico collaboration, 2026–2029, grant ECOS Nord USPN)
Translational research
- Multimodal Artificial intelligence/Machine Learning and Ontology-Based Predictive Models for Chronic Lymphocytic Leukemia: MIAMO-LLC (Multimodal Modeling of Chronic Lymphocytic Leukemia. PI (grant Infibrex Labex, 2024 - to date).