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“Graduate (1991) PhD (Complutense U., Madrid, 1995). Associate professor (1997) and full professor (2002) in Applied Mathematics at the Mathematics Department of the University of Castilla-La Mancha. He has published more than 170 research papers with more than 11000 Google citations and has an H-index of 52. He is editor in chief of the journal “Physica D: “Nonlinear Phenomena” and serves in the editorial board of “npj Systems Biology and Applications”. He is the coordinator of the Applied Mathematics panel at the Spanish National Research Agency and has been a member of the Marie Curie evaluation committee and of many international project evaluation boards in oncology and/or applied mathematics in France, UK, Poland, Austria, Romania, Cyprus, Latvia, Spain, etc. His main field of research is the application of mathematical modeling to oncology and more specifically to brain tumors, metastasis, cellular immunotherapies, biomarkers, medical images, lymphomas, leukaemias, prostate cancer, etc. In this field he has led several projects funded by public institutions, private foundations such as the James S. Mc. Donnell Foundation and pharmaceutical companies such as NOVARTIS. More specifically he is interested in the development and validation of mechanistic mathematical models that shed light on oncological processes and may be used as platforms to personalize treatments and develop in-silico trials. Also he is interested in the development of mathematical model-based biomarkers of response to treatments.” |
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Controlled generation of nonlinear excitations and vortex rings in Bose-Einstein condensates
Physical Review A 87, 053624 (2013)
F. Pinsker, N. G. Berloff, V.M. Pérez-García -
Mathematical model predicts response to radiotherapy of grade II gliomas
Reports of Practical Oncology and Radiotherapy 18, S63 (2013)
L.A. Pérez-Romasanta, J. Belmonte-Beitia, A. Martínez-González, G.F. Calvo, V.M. Pérez-García -
Modeling the connection between primary and metastatic tumors
Journal of Mathematical Biology 67, 657-692 (2013)
D. Diego, G.F. Calvo, V.M. Pérez-García
- Establishing a non-invasive approach to accurately diagnose and assess brain tumors
Canadian Cancer Society (2024 - 2027) - 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) - Optimization of tisagenlecleucel treatments of lymphoma: An integrated human data-based approach using mathematical models
NOVARTIS (2023 - 2025) - 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) - Improving cell therapies in neuroblastoma through mathematical modelling
NeN Association (2020 - 2023) - Mathematical models in Oncology
Ministerio de Ciencia e Innovación (Spain) (2020 - 2023)
“Graduate (1991) PhD (Complutense U., Madrid, 1995). Associate professor (1997) and full professor (2002) in Applied Mathematics at the Mathematics Department of the University of Castilla-La Mancha. He has published more than 170 research papers with more than 11000 Google citations and has an H-index of 52. He is editor in chief of the journal “Physica D: “Nonlinear Phenomena” and serves in the editorial board of “npj Systems Biology and Applications”. He is the coordinator of the Applied Mathematics panel at the Spanish National Research Agency and has been a member of the Marie Curie evaluation committee and of many international project evaluation boards in oncology and/or applied mathematics in France, UK, Poland, Austria, Romania, Cyprus, Latvia, Spain, etc. His main field of research is the application of mathematical modeling to oncology and more specifically to brain tumors, metastasis, cellular immunotherapies, biomarkers, medical images, lymphomas, leukaemias, prostate cancer, etc. In this field he has led several projects funded by public institutions, private foundations such as the James S. Mc. Donnell Foundation and pharmaceutical companies such as NOVARTIS. More specifically he is interested in the development and validation of mechanistic mathematical models that shed light on oncological processes and may be used as platforms to personalize treatments and develop in-silico trials. Also he is interested in the development of mathematical model-based biomarkers of response to treatments.” |
- Controlled generation of nonlinear excitations and vortex rings in Bose-Einstein condensates
Physical Review A 87, 053624 (2013)
F. Pinsker, N. G. Berloff, V.M. Pérez-García - Mathematical model predicts response to radiotherapy of grade II gliomas
Reports of Practical Oncology and Radiotherapy 18, S63 (2013)
L.A. Pérez-Romasanta, J. Belmonte-Beitia, A. Martínez-González, G.F. Calvo, V.M. Pérez-García - Modeling the connection between primary and metastatic tumors
Journal of Mathematical Biology 67, 657-692 (2013)
D. Diego, G.F. Calvo, V.M. Pérez-García
- Establishing a non-invasive approach to accurately diagnose and assess brain tumors
Canadian Cancer Society (2024 - 2027) - 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) - Optimization of tisagenlecleucel treatments of lymphoma: An integrated human data-based approach using mathematical models
NOVARTIS (2023 - 2025) - 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) - Improving cell therapies in neuroblastoma through mathematical modelling
NeN Association (2020 - 2023) - Mathematical models in Oncology
Ministerio de Ciencia e Innovación (Spain) (2020 - 2023)