I studied theoretical physics at Radboud University, Nijmegen. I obtained my PhD degree in 2008 under the supervision of Prof. Bert Kappen in the SNN/Machine Learning group on the subject of approximate inference algorithms and Bayesian graphical models for genetic linkage analysis (Radboud University). I then moved to the UK for a postdoc with Prof. Willem Ouwehand at the University of Cambridge and Prof. Richard Durbin at the Wellcome Trust Sanger Institute. I developed algorithms for detecting genetic variation from large scale sequencing data as a member of the 1000 Genomes Project Consortium. I also analysed exome sequencing data for rare genetic disorders and identified the underlying gene for TAR syndrome and Gray Platelet Syndrome. In 2012 I moved back to the Netherlands to start my own group. We apply functional genomics methods such as ATAC-Seq and develop statistical methods to map gene regulatory networks in iPSC-derived neurons and predict the role of genetic variants for neurodevelopmental disorders.
I am an enthusiastic early career scientist with an interdisciplinary training and a strong computational background. My interests lie in leveraging the information hidden in large-scale omics data for better understanding of the mutational processes causing human cancer, for identifying potential cancer prevention strategies, and for developing novel approaches for targeted cancer treatment.
Dr Patrick Aloy is an ICREA Research Professor and Principal Investigator of the Structural Systems Biology lab at the IRB. He has a BSc in Biochemistry and a MSc in Biotechnology from the Univ. Autònoma de Barcelona, Spain, and spent six years as postdoctoral researcher and staff scientist at the European Molecular Biology Laboratory, Heidelberg, Germany. For fifteen years, Dr Aloy has been developing and implementing new technologies and algorithms, applying state-of-the-art methods to specific problems and bridging the gap between theoretical models and experiments in different disciplines. In the last years, he has pioneered system-scale analyses of macromolecular assemblies and networks using high-resolution three-dimensional structures, which has become a new discipline in structure prediction. Dr Aloy has over 100 publications in first-rate journals, with over 9500 citations and remarkable press coverage, illustrating the scientific and social impact of the work.
Research group leader at the Institute of Social and Preventive Medicine (ISPM) at the University of Bern (Switzerland). Christian Althaus' research is focused on modeling the dynamics of infectious diseases within and between hosts. He is a co-founder of the Swiss Meeting for Infectious Disease Dynamics (SMIDDY).
Ilkay Altintas is a research scientist at SDSC, UCSD since 2001. She has worked on different aspects of data science and scientific computing in leadership roles across a wide range of cross-disciplinary projects. She is a co-initiator of and an active contributor to the open-source Kepler Workflow System, and co-author of publications at the intersection of scientific workflows, provenance, distributed computing, bioinformatics, sensor systems, conceptual data querying, and software modeling.
Computational biology Staff Scientist, Aravind Group, at the Computational Biology Branch, National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health (Bethesda, Maryland). Research interest includes studying protein structure, function and sequence, evolution of domains and biological systems to glean information about the biology of organisms.
Since 2014, senior research fellow and lecturer at the Institute of Applied Simulations of the Zurich University of Applied Sciences (ZHAW). Editor of BMC Evol Biol and PLoS ONE. In 2012 edited a book in 2 volumes "Evolutionary Genomics: Statistical and computational methods".
Jaume Bacardit is a Senior Lecturer in Biodata Mining at Newcastle University. His research is focused on the development of machine learning methods for complex, and large-scale datasets, and the application of these to biological/biomedical problems.
Jürg Bähler is a Professor of Systems Biology at University College London. His laboratory studies genome regulation during cellular proliferation, quiescence, and ageing using fission yeast (Schizosaccharomyces pombe) as a model system. They apply multiple genetic, computational and genome-wide approaches for systems-level understanding of regulatory processes and complex relationships between genotype, phenotype, and environment, including roles of genome variation and evolution, transcriptome regulation, and non-coding RNAs.
Jürg Bähler is an elected Member of the European Molecular Biology Organisation (EMBO) and a Fellow of the Royal Society of Biology, and he received a Wellcome Trust Senior Investigator Award and a Royal Society Wolfson Research Merit Award.
I am Director of the Computational Bioscience Research Center and Professor in the CEMSE Division at KAUST. I joined KAUST in May 2009. Before that time I was a Professor of Bioinformatics, as well as Acting and Deputy Director of the South African National Bioinformatics Institute (SANBI) at the University of the Western Cape in South Arica. I worked in industry and several academic and research institutions in several countries, including Vinca Nuclear Science Institute in Serbia and the Institute for Infocomm Research (I2R) in Singapore, where I was head of the Knowledge Extraction Laboratory. I extensively published across several fields and designed many bioinformatics tools and resources. My work in modeling and artificial intelligence has resulted in several promoter recognition tools and a knowledge discovery platform that found commercial applications. More than 60 master and doctoral students have graduated under my supervision. I am an elected member of the Academy of Nonlinear Sciences in Russia, and while in South Africa I was a registered professional engineer. For my bioinformatics work, I was awarded the first South African National Research Chair (Tier 1) in Bioinformatics and Human Health. My graduate degree in electrical engineering and master’s degree in electrical engineering sciences I earned from the University of Belgrade in Serbia, followed by a doctorate of engineering sciences in electrical engineering from the University of Zagreb in Croatia.
I got my PhD in Physics at Rome University, working with Luca Peliti and Giorgio Parisi on biologically inspired problems: evolutionary models and Boolean networks. Since then, I have always been interested in computational biology: Protein folding, Stability and population biology constraints in protein evolution, Conformation changes in proteins, Structural evolution of proteins, Theoretical ecology, Ecological interactions among microorganisms.
I'm a Systems Biologist with a background in Biology, Genetics and Bioinformatics. I hold a PhD from the Aix-Marseille University. After a Post-Doc in the CNIO (Madrid, Spain), I got a CNRS Researcher position in 2010. I've working since then in the Marseille Institute of Mathematics (CNRS-AMU). I'm interested in -omics studies (interactomes), Networks (partitioning, boolean modelling), and questions related to human diseases, in particular complex diseases, cancers and comorbidities.