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BSc in Physics (University of Córdoba, 2017). MSc in Applied Mathematics (Imperial College London, 2018). PhD in Physics and Mathematics (University of Castilla-La Mancha, 2024). Currently working on data analysis for predicting relapse in childhood leukemia, specifically B-ALL and T-ALL, as well as integrating mathematical models with clinical data to improve the understanding of CAR T-cell therapy in lymphoma.
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Computational flow cytometry immunophenotyping at diagnosis is unable to predict relapse in childhood B-cell Acute Lymphoblastic Leukemia
Computers in Biology and Medicine 188, 109831 (2025).
A. Martínez, S. Chulián, A. Niño, R. Picón, J. F. Rodríguez, E. Gálvez, T. Caballero, A. Molinos, A. Castillo, M. Ramírez, M. V. Martínez, A. Míguela, J. L. Fuster, C. Blázquez, V. M. Pérez-García, M. Rosa -
Understanding the role of B cells in CAR T-cell therapy in leukemia through a mathematical model
Chaos 34, 083142 (2024)
S. Serrano, R. Barrio, A. Martínez-Rubio, J. Belmonte-Beitia, V. M. Pérez-García
- Mathematical models for the digital transition in neuro-oncology: In-silico design of a clinical trial for glioblastoma.
Ministerio de Ciencia e Innovación (NextGenerationEU) (2023 - 2024) - Mathematics applied to pediatric oncohematology
Ministry of Science and Innovation (National Research Plan) (2023 - 2026) - Validation and transfer of oncological data and biomarkers based on mathematical models (AFTERbioMATH)
Ministry of Science and Innovation (Spain), Proof of Concept Program (2023 - 2024) - Early identification of relapse and treatment optimization in acute lymphoblastic leukaemias through mathematical modelling and discriminant analysis
Junta de Andalucía (2020 - 2023)
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BSc in Physics (University of Córdoba, 2017). MSc in Applied Mathematics (Imperial College London, 2018). PhD in Physics and Mathematics (University of Castilla-La Mancha, 2024). Currently working on data analysis for predicting relapse in childhood leukemia, specifically B-ALL and T-ALL, as well as integrating mathematical models with clinical data to improve the understanding of CAR T-cell therapy in lymphoma.
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- Computational flow cytometry immunophenotyping at diagnosis is unable to predict relapse in childhood B-cell Acute Lymphoblastic Leukemia
Computers in Biology and Medicine 188, 109831 (2025).
A. Martínez, S. Chulián, A. Niño, R. Picón, J. F. Rodríguez, E. Gálvez, T. Caballero, A. Molinos, A. Castillo, M. Ramírez, M. V. Martínez, A. Míguela, J. L. Fuster, C. Blázquez, V. M. Pérez-García, M. Rosa - Understanding the role of B cells in CAR T-cell therapy in leukemia through a mathematical model
Chaos 34, 083142 (2024)
S. Serrano, R. Barrio, A. Martínez-Rubio, J. Belmonte-Beitia, V. M. Pérez-García
- Mathematical models for the digital transition in neuro-oncology: In-silico design of a clinical trial for glioblastoma.
Ministerio de Ciencia e Innovación (NextGenerationEU) (2023 - 2024) - Mathematics applied to pediatric oncohematology
Ministry of Science and Innovation (National Research Plan) (2023 - 2026) - Validation and transfer of oncological data and biomarkers based on mathematical models (AFTERbioMATH)
Ministry of Science and Innovation (Spain), Proof of Concept Program (2023 - 2024) - Early identification of relapse and treatment optimization in acute lymphoblastic leukaemias through mathematical modelling and discriminant analysis
Junta de Andalucía (2020 - 2023)
