George is a PhD student in the group of Prof. Dr. Ruedi Aebersold at the Institute of Molecular Systems Biology, ETH Zürich. The main focus of his work is development of algorithms and software for SWATH-MS.
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Eugen Netz is a PhD student in the Biomolecular Interactions group led by Prof. Dr.-Ing. Oliver Kohlbacher at the Max Planck Institute for Developmental Biology in Tübingen. The main objective of his current work is to develop a workflow to elucidate protein structures and interactions using distance constraints from chemical cross-linking mass spectrometry (XL-MS) experiments.
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My name is Hannes Röst and I am a bioinformatics researcher interested
in complex molecular phenomena which I investigate using multiple
computational and statistical methods. In my research, I aim to use
computational tools and develop novel algorithms to better understand
biological systems at the molecular level. Specifically I am
interested in developing novel methods in mass spectrometry to better
and more accurately identify and quantify proteins and metabolites and
I have been working on targeted methods including SWATH-MS.
My interests are machine learning and computational biology, in particular proteomics and neuroscience. I spilt my time evenly between the protein evolution group at the Max Planck Institute for Developmental Biology and the Cognitive Neurology group at the University Clinic in Tubingen,
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Head of the group at FU Berlin. My research is influenced by the training I received as an algorithmicist at the Max-Planck-Institute for Computer Science in Saarbrücken, Germany and by my subsequent research as a senior scientist at Celera Genomics in Rockville, MD, USA. I aim to enable translational research in computationally based life sciences by removing existing (communication) gaps between theoretical algorithmicists, statisticians, programmers, and users in the biomedical field.I obtained my Diploma in Computer Science from Saarbrücken University and my PhD from the Max-Planck-Institute for Computer Science in Saarbrücken.
Freie Universität Berlin is a leading research institution. It is one of the German universities successful in all three funding lines in the federal and state Excellence Initiative, thereby receiving additional funding for its institutional future development strategy.
The home for big data in biology: At EMBL-EBI, we use bioinformatics — the science of storing, sharing and analysing biological data — to help people everywhere understand how living systems work, and what makes them change
The University of Toronto is a public research university in Toronto, Canada founded in 1827. The university is commonly ranked as the best Canadian university, and is strong in diabetes and stem cell research, as well as machine learning.
The Chan Zuckerberg Initiative mission is to find new ways to leverage technology, community-driven solutions, and collaboration to accelerate progress in Science, Education, and within our Justice and Opportunity work.
ELIXIR unites Europe’s leading life science organisations in managing and safeguarding the increasing volume of data being generated by publicly funded research. It coordinates, integrates and sustains bioinformatics resources across its member states and enables users in academia and industry to access services that are vital for their research.
German Network for Bioinformatics Infrastructure – de.NBI
The ‘German Network for Bioinformatics Infrastructure – de.NBI’ is a national infrastructure supported by the Federal Ministry of Education and Research providing comprehensive, high-quality bioinformatics services to users in life sciences research and biomedicine. The partners organize training events, courses and summer schools on tools, standards and compute services provided by de.NBI to assist researchers to more effectively exploit their data.
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