Julio is the leader of the Computational Biology Lab at MBG-CSIC (Pontevedra, Spain), an institute of CSIC (Spanish National Research Council). More info at https://www.bangalab.org

Our research is focused in computational systems and synthetic biology.

We use mathematical modelling, simulation and optimization to understand complex biological systems and processes.

Current research topics include:

• Reverse engineering: systems identification (dynamic modelling) of biological networks

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Currently I focuse on the integration of data into multi-scale models with statistical methods and uncertainty tracking in the research unit QuaLiPerF.

I would like to collaborate on the COVID-19 projects. I am currently a faculty member of the Infectious Diseases research center, at the Golestan University of Medical Sciences, Iran, and studying clinical information of patients with COVID-19. I am a microbiologist and can help other teams to evaluate the data obtained from COVID-19 cases.

Andreas Dräger is the assistant professor for Computational Systems Biology of Infection and Antimicrobial-Resistant Pathogens at the University of Tübingen in Germany. His group aims to combat the spreading antibiotics resistances by using mathematical modeling and computer simulation of bacterial systems up to entire microbiomes and host-pathogen interactions. In doing so, his group actively contributes to the advancement of various COMBINE standards.

Lutz Brusch is heading the research group "Spatio-temporal pattern formation in cells and tissues" at the Centre for Information Services and High Performance Computing of TU Dresden, Germany. The group is co-developing the multi-cellular modelling and simulation framework Morpheus (https://morpheus.gitlab.io) and is collaborating with experimental labs on questions of tissue morphogenesis and regeneration.

I studied Engineering Cybernetics at the University of Stuttgart and the University of Wisconsin, Madison. After my graduation, I started my PhD studies in systems biology for which I received a Ph.D. degree in 2013. A few months later I became team leader at the Institute of Computational Biology at the Helmholtz Zentrum München. Since August 2015, I lead an independent junior research group at the Helmholtz Zentrum München.

My research focuses on the development of methods for the data-driven ...

POSITION Prof. Dr. Natal van Riel is Professor in Computational Modelling at the Academic Medical Center - University of Amsterdam (AMC - UvA) and Associate Professor in Systems Biology and Metabolic Diseases at the Department of Biomedical Engineering of the Eindhoven University of Technology (TU/e).

RESEARCH My research applies mathematical modelling and computation to study metabolic diseases, in particular Metabolic Syndrome and co-morbidities. Systems biology approaches are developed for ...

I've become a SysMO DB PAL for MOSES project in 2007 being a post-doc in lab of Prof. Matthias Reuss at University of Stuttgart. In the MOSES project, our major efforts were in the experimental data acquisition for dynamic model of primary carbon and anaerobic energy metabolism in yeast. The model implements prediction of perturbations of two types: glucose pulse and temperature jump. We implement “stimulus-response” methodology for the unraveling the dynamic structure of the network and to ...

My group investigates dynamic regulation and control mechanisms of cellular signal transduction networks by a combination of theoretical, experimental and computational methods. We seek to make sense of our biological data with the help of mathematical models, which ideally enable us to make valid predictions for new experiments, thereby generating novel biological insights.

I am a PhD student in the Theoretical Systems Biology group, based at Imperial College London. The aim of my PhD is to understand how noise can be the driving force of decision-making processes (differentiation, self-renewal, apoptosis or tumorgenesis), and what are our chances to control them. So far I have been working on method development for stochastic models, a moment closure framework and a stochastic reachability method, to look into cell-to-cell-variability.

Former: PhD student as research associate at the Institute for System Dynamics (ISYS), Universität Stuttgart, Germany. Engineering background→modelling, identification and analyses. Detailed kinetic modelling, identification and analysis of the TCA cycle (tricarboxylic acid cycle, citric acid cycle) and the ETC (electron transport chains, respiratory chains) of Escherichia coli. One of the SysMO-DB pals for SUMO. Now: Industrial affiliation

I am a postdoctoral researcher in the group of Julio Banga. My research is focused on computational systems biology with particular attention to the mathematical modelling of biosystems and bioprocesses. Some of the topics we address are:

• Parameter estimation
• Model identifiability
• Global sensitivity analysis
• Optimal experimental design
• Dynamic optimization
• Robust control of diffusion-reaction systems

Modelling of the general stress response activation cascade of sigB in B. subtilis in response to starvation.

Process engineer, modeling biological systems since 1985.

Grammar school until 1998 1998-99 Alternative civilian service 1999-2002 Professional education as male nurse 2002-2007 Study of Biomathematics 2007-... PhD student in TRANSLUCENT project

PI of the SUMO work package "Detailed kinetic modelling, identification and analysis of the citric acid cycle and respiratory chains of E. coli". Director of the Institute for System Dynamics, Universität Stuttgart, Germany.

I am an engineer with a PhD degree in Chemical Engineering and had been working on dynamic modeling of mammalian cell culture fermentation in London for three years before moving into simulation of microbial systems. In this PSYSMO project I am mainly involved in modeling of PHAs synthesis. I am also a PAL since May 2009 - 2011 to coordinate data management and general communication among all 17 partners.

We are very interested in applying a systems approach (i.e. model-based concepts and related computational tools) to problems from the biological domain. In particular, we are doing research in computational systems biology, targetting the following topics:

• Parameter estimation (inverse problems, model calibration) in biochemical pathways
• Optimal experimental design (optimal dynamic experiments) for Systems Biology
• Dynamic optimization (optimal control) of biosystems and bioprocesses

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biomathematician, PhD student at the University of Rostock, Systems Biology Group Rostock

Physicist, working on the modelling side.

I'm an engineer at the MPI Magdeburg and I'm working in the field of mathematical modeling, model verification, parameter identification, model analysis and experimental design. I'm involved in two projects, KOsmoBac and PSYSMO.