I am a researcher at the Scientific Databases and Visualization Group at Heidelberg Institute for Theoretical Studies (HITS) , one of the developers of SabioRK - System for the Analysis of Biochemical Pathways - Reaction Kinetics (http://sabiork.h-its.org/) . I am working on design and maintenance of the information systems to store, query and analyse systems biology data; definition and implementation of methods for the integration of data from multiple sources. In SySMO-DB project
Lead Software Engineer and Architect on the FAIRDOM team based in Manchester.
Developing SEEK and RightField.
I am a Research Fellow at the University of Manchester, working in Bioinformatics and Computer Science. I am also a guest researcher at the Vrije Universiteit.My research interests include scientific workflows, semantic discovery, and applying ontology technologies to biological data
Martijn Bekker (1979) was born in Amstelveen (The Netherlands). He started his studies in biology in 1997 at the University of Amsterdam, and graduated in 2003 with specializations in molecular microbiology and in immunology. The internships during his undergraduate studies were carried out in the labs of Prof. dr. B. Oudega (VU, Amsterdam, The Netherlands) and Prof. dr. F. Heffron (OHSU, Portland, Oregon, USA).
He continued with his graduate studies in 2003 in the Laboratory for Molecular Microbial
I am post-doc in lab of Prof. Matthias Reuss at University of Stuttgart. At the moment our major efforts are in the data acquisition for dynamic model of glycolysis as it is the major anaerobic energy supplier in yeast. The model should to implement prediction of perturbations of two types: glucose pulse and temperature jump. We are explicitly using "stimulus-response" methodology for the unraveling the dynamic structure of the network to model it.
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
I'm an 'experimentalist' (molecular microbiologist) Postdoc working on regulation and peptide signaling in Clostridium acetobutylicum.
I'm also a SysMO-DB PAL (Product Application Liason) for COSMIC, working on data management including standards and integration with SysMO SEEK.
I started to work with B. subtilis during my diploma thesis in Marburg, analyzing the gene expression pattern during sporulation and their control by the four sporulation sigma factors. This work was continued during my PhD thesis in Greifswald. In collaboration with Prof. Bremer and Prof. Marahiel in Marburg we also studied additional adaptation processes of B. subtilis, like the adaptation to low temperatur and high osmolarity.
I am now working as a staff scientist in Prof. Völkers lab in
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.
Institutions: Helmholtz Centre for Infection Research Braunscheig
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 to coordinate data management and general communication among all 17 partners.
Since August 2008 I am professor in Systems Biology at the VU University Amsterdam. My Systems Bioinformatics group focusses on systems biology with a special focus on integrative bioinformatics. It aims at forming bridges between the classical bottom-up approaches in systems biology and the more data-driven approaches in classical bioinformatics. We combine experimental, modeling and theoretical approaches to study cellular physiology, with an emphasis on metabolic networks.