Keynote : Prof. Dr. Roeland Merks

Prof. Dr. Roeland Merks is a senior researcher at Centrum Wiskunde & Informatica (CWI), the Dutch national researcher for mathematics and computer science in Amsterdam, The Netherlands and he is a part-time full professor in Multiscale Mathematical Biology at the University of Leiden, The Netherlands. Merks received his Master of Science degree in Biology from Utrecht University, The Netherlands in 1997. After a brief research stay at Tokyo University, Japan in 1998 he pursued PhD studies in Computational Science from 1999 to 2003 the University of Amsterdam, The Netherlands. He earned his PhD for his studies with Dr. Jaap Kaandorp, Dr. Alfons Hoekstra, and Prof. Peter Sloot on the simulation of branching morphogenesis of corals. He went on to study the mechanisms of collective cell behavior during angiogenesis with Prof. James Glazier from Indiana University, Bloomington, and then moved to the VIB Dept. Plant Systems Biology in Ghent, Belgium to work on cell-based modeling of leaf morphogenesis with Dr. Gerrit Beemster and to set up his own group on plant modeling. In 2008 he moved to CWI, the Dutch national research center of mathematics and computer science, where he set up the biomodeling group of the Netherlands Consortium for Systems Biology. Merks' current research focuses on modeling angiogenesis, plant development, and mechanobiology

More information can be found on Dr. Merks

Keynote title “Multiscale Modeling of the Gut Microbiota”


Keynote : Dr. Kris Laukens

Dr. Laukens is a bioinformatics researcher at the Biomedical informatics research center (biomina) and the Advanced database Research and Modelling (ADReM) group at the University of Antwerp. His research interests consist of bioinformatics and data mining approaches to build computer models of biological systems.

Learn more about him here

Keynote title: “Making sense of unexplained proteomics and metabolomics data with pattern mining approaches”

In this talk he will introduce some of the key challenges that the proteomics and metabolomics field are currently facing. A major fraction of mass spectrometry data remains still unexplained, especially in discovery workflows. Quality issues, artefacts, lack of (complete and representative) reference libraries and structural modifications are just a few of the major issues when we try to identify proteins or small molecules. He will discuss how they have (attempted to) come up with solutions that are based on pattern mining techniques. First, he will also discuss their efforts to find associations between unexplained parts of information with frequent pattern discovery techniques, and reveal how they can help to elucidate fractions of unassigned proteome and metabolome data. Second, he will present solutions to efficiently search libraries while allowing structural modifications, i.e. so called open library search. He will place these in the broad context of improved quality of proteome and metabolome analysis workflows.



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