P1 - K.U.Leuven - EE Dept. (ESAT)/SCD (SISTA/COSIC/DocArch)
Bart De Moor
Profile: Full Professor
Skills: Bart De Moor is head of the ESAT/SCD-Bioi subgroup. His research interests are bio-informatics, text-mining, data-mining, medical diagnosis systems and Bayesian learning and decision.
Skills: microarray data analysis (analysis of compendia,(bi)clustering, arrayCGH), analysis of cis-regulatory sequences (motif finding, module discovery), probabilistic graphical models, Markov Chain Monte Carlo methods (Gibbs sampling), data fusion. He is also teacher of Bioinformatics at the KULeuven and at the ICES (U. Ghent)
Skills: Kathleen Marchal's field of expertise is in bioinformatics with as key research topics: microarray analysis, integrative modeling for top down inference, motif detection, prokaryotic comparative genomics. By combining her wet lab expertise with her experience in bioinformatics she aims at setting up in collaboration with the Center of Microbial and Plant genetics a Salmonella systems biology approach. She is also teacher of Bioinformatics at the KULeuven and at the ICES (U.Ghent)
P2 - VIB - U.Gent - Plant Systems Biology - Bioinformatics and Evolutionary Genomics
Yves Van de Peer
Skills: Professor in Bioinformatics and Genome Biology at Ghent University and VIB group leader in the Department of Plant Systems Biology. Currently, he is leading a group of about 20 bioinformaticians with backgrounds in biology, computer science, physics, and mathematics. In the last five years, he has published over 80 papers in peer-reviewed journals, of which more than half appeared in journals with an impact factor above 5, and half of these even in journals with an impact factor higher than 10.
P3 - ULB - Chemistry - Unit of Theoretical Chronobiology
Skills: Works in the field of Computational Biology on modeling cellular rhythms and threshold phenomena in phosphorylation-dephosphorylation cascades. Currently works on modeling (1) circadian rhythms and associated physiological disorders of the sleep-wake cycle in humans, (2) the cell cycle clock, and (3) the effect of circadian rhythms on the cell cycle and on the efffect of anticancer drugs.
Jaques van Helden
Skills: Development of bioinformatics methods. Statistical analysis of biological data. Fields of aplication : analysis of regulatory sequences; representation and analysis of networls of molecular interactions (metabolic pathways, regulatory pathways, protein interaction networks); analysis of microarray data..
Profile: Maître de recherche FNRS, senior scientist
Skills: Works in the field of Computational Biology on modeling (1) oscillations of cytosolic Ca2+, (2) intracellular and intercellular waves of Ca2 and (3) metabolic pathway regulation.
Profile: Chercheur qualifié FNRS, senior scientist
Skills: Works in the field of Computational Biology on modeling circadian rhythms and associated physiological disorders of the sleep-wake cycle in humans
P4 - ULg, EE & CS - Systems and Modeling & GIGA-R - Bioinformatics and Modeling
Skills: Trained as an electronics engineer, LW did his PhD in machine learning and electric power systems transient stability. He has published a book and co-authored about 150 papers in the fields of machine learning, data mining, power systems and bioinformatics. He is the inventor of a Monte-Carlo method for complex systems modeling and control, co-inventor of several machine learning algorithms, and co-owner of a patent in bioinformatics.
Profile: Senior Scientist (FNRS)
Skills: Trained as a computer engineer, PG did his PhD in machine learning/data mining. He is the inventor of several machine learning algorithms, in particular 'Dual Perturb and
Combine', 'Extremely Randomized Trees', 'Segment and Combine', and 'Output Kernel Trees'. His research presently focuses on Machine Learning in Bioinformatics, particularly the extension of algorithms to handle temporal data, sequences and graphs, in genomics, proteomics and systems biology.
Profile: Senior Scientist
Skills: Trained first as a chemist and subsequently as a molecular biologist, WC has a long standing experience in mammalian genomics and statistical genetics. He has been intimately involved and coordinated the development of LIMS software for high
throughput genomic analysis, software for the management and mining of comparative genomic information and methods and software for the mapping and fine-mapping of QTL in animal populations.
Profile: Senior Scientist
Skills: Trained as a physicist, XT has shifted to bioinformatics in the last two years. He has primarily focused on genome annotation and then on the bioinformatics analysis of micro-RNAs and their targets. He has developed the first version of the ?Patrocles? database compiling polymorphic micro-RNA-target interactions.
EU-Partner 1 (EU1) - Univ. D'Evry-Val d'Essonne - Génopole - Lab. De Méthodes Informatiques - Equipe BioInfo
Skills: Trained as an engineer with a Master of Mathematics, Florence d?Alché-Buc has defended her PhD thesis on artificial neural networks and her habilitation thesis on statistical models and combination methods. She is author or co-author of 50 international publications in statistical machine learning, text-mining and bioinformatics. She is co-author of two patents in hierarchical processing of signal and on-line learning. She is working on the probabilistic modeling of biological networks and the extension of statistical learning to structured data.
Profile: Assistant Professor
Skills: Trained as an engineer, Farida Zehraoui defended in 2004 her PhD thesis on the combination of unsupervised learning (self-organizing maps) and case-base reasoning for sequences prediction. She is co-author of 5 international publications. She is currently working on spectral methods applied to biological data.
EU-Partner 2 (EU2) - Université De la Méditerrannée - Aix Marseille II - Institute de Biologie et du Développement de Marseille-Luminy - Bioinformatique
Skills: Qualitative modelling, analysis and simulation of geneticregulatory networks. Applications to pattern formation during embryonic developement, cell cycle in yeast, Drosophila and mammals, and to lymphoid cell differentiation.
Profile: Assistant Professor
Skills: Discrete mathematics, theoretical computer sciences, object-oriented programming, Petri nets. Modelling of metabolic and genenetic networks
Profile: Researcher (CNRS)
Skills: Discrete mathematics and probability