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BSc in Physics (University of Córdoba, 2014) and PhD in Applied Mathematics (University of Castilla-La Mancha, 2024). Currently, she is a postdoctoral researcher at the Bioinformatics Unit of the Spanish National Cancer Research Centre (CNIO). Her research combines mathematical modeling, image analysis, and machine learning to study cancer dynamics, with a focus on brain tumors. She integrates clinical, imaging, and omics data to identify predictive biomarkers and improve patient-specific treatment strategies.
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Publications
Projects
- Model-based digital twins for biomarker development and virtual clinical trials in oncology.
Supported by project SBPLY/24/180225/000193, funded by Junta de Comunidades de Castilla-La Mancha. Spain and European Regional Development Fund (ERDF A way of making Europe). (2025 - 2028) - Establishing a non-invasive approach to accurately diagnose and assess brain tumors
Canadian Cancer Society (2024 - 2027)
Ocaña Tienda, Beatriz
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BSc in Physics (University of Córdoba, 2014) and PhD in Applied Mathematics (University of Castilla-La Mancha, 2024). Currently, she is a postdoctoral researcher at the Bioinformatics Unit of the Spanish National Cancer Research Centre (CNIO). Her research combines mathematical modeling, image analysis, and machine learning to study cancer dynamics, with a focus on brain tumors. She integrates clinical, imaging, and omics data to identify predictive biomarkers and improve patient-specific treatment strategies.
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Publications
Projects
- Model-based digital twins for biomarker development and virtual clinical trials in oncology.
Supported by project SBPLY/24/180225/000193, funded by Junta de Comunidades de Castilla-La Mancha. Spain and European Regional Development Fund (ERDF A way of making Europe). (2025 - 2028) - Establishing a non-invasive approach to accurately diagnose and assess brain tumors
Canadian Cancer Society (2024 - 2027)
