Arnau Montagud, PhD

Affiliations: 
2007-2012 Departamento de Matemática Aplicada Universidad Politecnica de Valencia (Spain) 
 2012-2014 Instituto Universitario de Matemática Pura y Aplicada (IUMPA) Universidad Politecnica de Valencia (Spain) 
 2014-2019 U900 Institut Curie, Paris, France, Paris-5E-Arrondissement, Île-de-France, France 
 2019-2024 Life Sciences Barcelona Supercomputing Center, Barcelona, Catalunya, Spain 
 2024- Theoretical and Computational Systems Biology Institute for Integrative Systems Biology (I2SysBio, CSIC-UV) 
Area:
Systems Biology, Computational Biology, Metabolic Engineering
Website:
https://arnaumontagud.netlify.app/
Google:
"Arnau Montagud"
Bio:

My goal as a researcher is to understand the mechanisms behind diseases by using personalised models in biomedical and biotechnological projects. To do this, I lean on tools from mathematics and computer science to solve interesting problems in biology.

I am interested in combining multi-omics patient data to build multiscale models of cellular behaviours that merge intracellular models, agents for cells and a complex environment. Once built, these models need to be optimised to run efficiently in high-performance computers to have real-sized simulations, scaling-up the scope of projects.

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Publications

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Niarakis A, Ostaszewski M, Mazein A, et al. (2024) Drug-target identification in COVID-19 disease mechanisms using computational systems biology approaches. Frontiers in Immunology. 14: 1282859
Ponce-de-Leon M, Montagud A, Noël V, et al. (2023) PhysiBoSS 2.0: a sustainable integration of stochastic Boolean and agent-based modelling frameworks. Npj Systems Biology and Applications. 9: 54
Ruscone M, Montagud A, Chavrier P, et al. (2023) Multiscale model of the different modes of cancer cell invasion. Bioinformatics (Oxford, England)
Ponce-de-Leon M, Montagud A, Akasiadis C, et al. (2022) Optimizing Dosage-Specific Treatments in a Multi-Scale Model of a Tumor Growth. Frontiers in Molecular Biosciences. 9: 836794
Montagud A, Béal J, Tobalina L, et al. (2022) Patient-specific Boolean models of signalling networks guide personalised treatments. Elife. 11
Ostaszewski M, Niarakis A, Mazein A, et al. (2021) COVID-19 Disease Map, a computational knowledge repository of virus-host interaction mechanisms. Molecular Systems Biology. 17: e10851
Ostaszewski M, Niarakis A, Mazein A, et al. (2021) COVID19 Disease Map, a computational knowledge repository of virus-host interaction mechanisms. Molecular Systems Biology. 17: e10387
Santus E, Marino N, Cirillo D, et al. (2021) AI-aided Precision Medicine against COVID-19: Strategic Areas of Research and Development. Journal of Medical Internet Research
Gamermann D, Montagud A, Conejero JA, et al. (2019) Large scale evaluation of differences between network-based and pairwise sequence-alignment-based methods of dendrogram reconstruction. Plos One. 14: e0221631
Béal J, Montagud A, Traynard P, et al. (2018) Personalization of Logical Models With Multi-Omics Data Allows Clinical Stratification of Patients. Frontiers in Physiology. 9: 1965
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