- Prof. Dr. Bas E. Dutilh, Jena
Bas E. Dutilh is professor of Viral Ecology and PI of the Viral Ecology and Omics Group (VEO) at Friedrich Schiller Universität Jena, affiliated with the Microverse Cluster, and of the Utrecht University Metagenomics Group (MGX), affiliated with Science4Life and the Utrecht Bioinformatics Centre. The Microverse is arguably the most complex system known to mankind.
Dutilh and his team use high-throughput experiments and ‘omics data of various flavors, combined with innovative computational analyses to understand how microbiomes come about. The focus is on predictability: by building computational models of the various processes driving microbial functioning and dynamics, they try to understand microbiomes in their context.
For his work, Dutilh has received awards including NWO Veni/Vidi, ERC Consolidator, and Alexander von Humboldt Professur. - Prof. Dr. Birte Kehr, Regensburg
Birte Kehr specializes in the development of algorithms and software for analyzing large amounts of genome-sequence data. Her recent research has mostly focused on studying the human genome in a biomedical context.
She has developed algorithms for detecting and genotyping genomic structural variation in population-scale data sets, identified various genotype-disease associations, and contributed to basic research insights into human genome evolutionary processes.
Since 2020, she has led the Research Group for Algorithmic Bioinformatics at the Leibniz Institute for Immunotherapy and held a W2 professorship at the University of Regensburg. She started a Junior Research Group at the Berlin Institute of Health and the Charité-Universitätsmedizin Berlin in 2016 after working for three years as a Research Scientist at deCODE genetics/Amgen Inc. based in Reykjavík, Iceland. She holds a PhD from the Department of Mathematics and Computer Science of the Freie Universität Berlin and received her Diploma in Bioinformatics at the Friedrich Schiller University, Jena. - Prof. Dr. Nicola Zamboni, Zürich
The Zamboni lab at the Institute of Molecular Systems Biology, ETH Zurich, investigates metabolism and its regulation. The lab develops and combines mass spectrometry approaches with computational methods for analysis and integration.
The fields space across all fields of biomedical research, including metabolic engineering, toxicology, drug development against pathogens or tumors, aging, immunology, precision health, and more.
The talk Nicola Zamboni will give is entitled „Guessing, measuring, and inferring metabolic fluxes“.