Early Stage Researchers and Projects

Systematic Models for Biological Systems Engineering Training Network

The training programme and approach pursued by the SyMBioSys consortium has been designed to address the following main concerns:SyMbioSys Logo (2)

  • train young researchers with cross-disciplinary skills encompassing biological experimentation, mathematical modeling and optimization, as well as software engineering, to enhance understanding of biological processes;
  • achieve real understanding and adequate communication between the different research communities involved (systems and software engineers, modelers and biologists). The aim is to reinforce the coherence in biological systems engineering field, ending up with complementarities and future activities;
  • strengthen the academic-industrial links in biological systems engineering area. The SyMBioSys approach is promising to enormously benefit White and Red Biotech companies by providing applications that help anticipate project failure at an early stage and shorten product development timeframes;
  • provide a platform for young researchers to enhance their network, knowledge and career opportunities. SyMBioSys will address these concerns through the training of 15 ESRs, who will be moving between the academic and industrial sectors, within the dynamic environment of 5 universities, 2 research centres and 4 companies. The ESRs will aim at solving cross-disciplinary problems supervised by researchers of different backgrounds.
ESR N.
Project Title
Full name
ESR1
Unraveling the main control structure of the yeast core carbon metabolism
Joana Saldida Alves
ESR2
Capturing Heterogeneity across many scales in Biosystems using Population Balance Modelling
Romuald Győrgy
ESR3
Modeling of cell signaling via hybrid networks
Aurelien Dugourd
ESR4
Metabolism in mathematical modelling and bioprocess development for mesenchymal stem cell osteogenic differentiation in 2D and 3D cultures
Michail Klontzas
ESR5
Identification of logic-based dynamic models of biochemical networks
Enio Gjerga
ESR6
Systematic reverse-engineering methods for dynamic model identification, selection and discrimination
Jake Pitt
ESR7
Optimal control methods to explain and predict operating principles in biochemical pathways
Nikolaos Tsiantis
ESR8
Optimal metabolic regulation through cell signaling
Roman Rainer
ESR9
Drug target detection as optimality problem
Olufemi Ademola Bolaji
ESR10
Algorithms and software tools for calibration of biological process models
Lucian Gomoescu
ESR11
Application of the new algorithms and software tools to biological test cases, from the analysis of metabolic and signaling networks to metabolic engineering and biomedical problems
Sara Barbosa
ESR12
Development of bi-level strain optimization algorithms and software tools
Osvaldo Kim
ESR13
Model-based optimization for personalized leukemia treatment using an integrated experimental / computational platform
Jose Ferreira Rodrigues De Morais
ESR14
Integration of signaling models with clinical databases and proteomic, phopshoproteomic, transcriptomic, and genomic data
Asier Antoranz
ESR15
Large-scale kinetic model of human metabolism
Maria Masid Barcon