Arnau Montagud

Arnau Montagud

Researcher on Systems Biology / Data Science / Models

Barcelona Supercomputing Center, Spain

Biography

I completed my BSc in Biology and MSc in Cell Biology by the University of Valencia. During my last undergrad year I participated in synthetic biology’s iGEM competition where I dove in the use of models in Biology, which pushed me to pursue a PhD in the Department of Applied Mathematics in the Technical University of Valencia.

My research on Metabolic Engineering of hydrogen in cyanobacteria led me to be visiting researcher at Uppsala University, Denmark Technical University and EMBL Heidelberg. After graduating, I decided to apply modelling techniques to Cancer using logical models, agent-based models and data deconvolution and integration, first at Institut Curie’s Systems Biology department and currently at BSC’s Life Sciences department.

Download my resumé.

Interests
  • Systems Biology
  • Multiscale Models
  • Logical Models
  • Data deconvolution
  • Data integration
Education
  • PhD in Applied Mathematics, 2012

    Universitat Politècnica de València

  • MSc in Cell Biology, 2007

    Universitat de València

  • BSc in Biology, 2006

    Universitat de València

Experience

 
 
 
 
 
Barcelona Supercomputing Center
Senior Researcher (Life Sciences Department)
Barcelona Supercomputing Center
Jan 2019 – Present Barcelona, ES
 
 
 
 
 
Institut Curie
Postdoctoral Researcher (U900 - Bioinformatics and Computational Systems Biology of Cancer)
Institut Curie
Jan 2014 – Dec 2018 Paris, FR
 
 
 
 
 
Universitat Politècnica de València
Postdoctoral Researcher (Institut Universitari de Matemàtica Pura i Aplicada)
Universitat Politècnica de València
May 2012 – Jan 2014 València, ES
 
 
 
 
 
Universidad Católica de Valencia
Postdoctoral Fellow (Instituto Universitario de Medio Ambiente y Ciencia Marina)
Universidad Católica de Valencia
Aug 2012 – Nov 2012 València, ES

Publications

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Optimizing dosage-specific treatments in a multi-scale model of a tumor growth
Parallel Model Exploration for Tumor Treatment Simulations
COVID19 Disease Map, a computational knowledge repository of virus-host interaction mechanisms
BioFVM-X: An MPI+OpenMP 3-D Simulator for Biological Systems
Artificial Intelligence–Aided Precision Medicine for COVID-19: Strategic Areas of Research and Development
INforE: Interactive Cross-platform Analytics for Everyone
Framework for high-throughput personalization of logical models using multi-omics data

Projects

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COVID studies
Flux Balance Analysis metabolic modelling
Multiscale modelling
Pathway-based analysis
Synthetic Biology
Boolean modelling

Contact