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BSc in Biotechnology (UPM), MSc in Biophysics (UAM), and MSc in Applied Mathematics (UCLM). He is a post-doc at MOLAB working on evolutionary dynamics and virtual clinical trials in cancer. The discrete stochastic tumor growth model developed in his Ph.D. thesis (2022) have been used for human data-based studies on evolutionary dynamics, to discover new biomarkers in different cancers, and to optimize glioblastoma treatments. |
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Exploring neuroblastoma’s cellular microenvironment: A novel approach using cellular automata to model Celyvir treatment
Computers in Biology and Medicine 188, 109782 (2025)
José García Otero, Juan Belmonte-Beitia, Juan Jiménez-Sánchez -
A glance at evolvability: a theoretical analysis of its role in the evolutionary dynamics of cell populations
arXiv:2402.06392
J. Jiménez-Sánchez, C. Ortega-Sabater, P. K. Maini, V.M. Pérez-García, T. Lorenzi -
Radiation necrosis after radiation therapy treatment of brain metastases: A computational approach
PLOS Computational Biology 20(1) e1011400 (2024)
Beatriz Ocana-Tienda, Odelaisy Leon-Triana, Julian Perez-Beteta, Juan Jiménez-Sánchez, Victor M. Perez-Garcia
- Improving New Therapies in Oncology and Related Fields using mathematical models and biomedical data
Ministry of Science and Innovation (National Research Plan) (2023 - 2026) - 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) - 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)
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BSc in Biotechnology (UPM), MSc in Biophysics (UAM), and MSc in Applied Mathematics (UCLM). He is a post-doc at MOLAB working on evolutionary dynamics and virtual clinical trials in cancer. The discrete stochastic tumor growth model developed in his Ph.D. thesis (2022) have been used for human data-based studies on evolutionary dynamics, to discover new biomarkers in different cancers, and to optimize glioblastoma treatments. |
- Exploring neuroblastoma’s cellular microenvironment: A novel approach using cellular automata to model Celyvir treatment
Computers in Biology and Medicine 188, 109782 (2025)
José García Otero, Juan Belmonte-Beitia, Juan Jiménez-Sánchez - A glance at evolvability: a theoretical analysis of its role in the evolutionary dynamics of cell populations
arXiv:2402.06392
J. Jiménez-Sánchez, C. Ortega-Sabater, P. K. Maini, V.M. Pérez-García, T. Lorenzi - Radiation necrosis after radiation therapy treatment of brain metastases: A computational approach
PLOS Computational Biology 20(1) e1011400 (2024)
Beatriz Ocana-Tienda, Odelaisy Leon-Triana, Julian Perez-Beteta, Juan Jiménez-Sánchez, Victor M. Perez-Garcia
- Improving New Therapies in Oncology and Related Fields using mathematical models and biomedical data
Ministry of Science and Innovation (National Research Plan) (2023 - 2026) - 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) - 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)
