Where Software and Biology Connect
Current developments within and beyond the Bioconductor project
Workshops, keynote presentations, and more
Mark your calendar
|Tweets by @Bioconductor|
||Tweets by Bioconductor|
Franka Voigt obtained her PhD from EMBL, Germany, where she used structural biology and biochemistry to characterize the molecular mechanisms of ribonucleoprotein (RNP) assembly and function. She then moved on to do her postdoctoral work at the Friedrich Miescher Institute for Biomedical Research in Basel, Switzerland, where she developed single-mRNA imaging methods that allow visualization of RNPs in live cells and 3D organoid model systems. Starting from 2023 she is an Assistant Professor at the Department of Molecular Life Sciences at the University of Zurich, Switzerland. The research in her lab focuses on the investigation of targeting mechanisms that recruit select mRNA transcripts to specific subcellular localizations and aims to understand their contribution to disease. She develops live single-molecule imaging tools and imaging-based spatial transcriptomics assays to combine them with novel 3D organoid model systems. https://voigtlab.org/.
Karoline Faust is Associate Professor in Microbiological Bioinformatics and ERC starting grant holder at KU Leuven, Belgium. Her research team studies the structure and dynamics of microbial communities, in silico and in vitro, combining methods from microbial ecology, systems biology and bioinformatics. The analysis of microbial networks has been one of her key research themes. She has also released R packages related to microbial ecology models. http://msysbiology.com/index.html.
Raphael Gottardo leads the Translational Data Science Center in Lausanne. His research group focuses on developing novel computational tools, statistical methods and machine learning algorithms for the analysis of high-throughput and high-dimensional datasets generated by novel assay technologies with applications in immunology, vaccine research and immunotherapy. https://www.chuv.ch/en/bdsc/research/our-groups/translational-biomedical-data-science.
Yvan Saeys is professor of Machine Learning at Ghent University, and PI in Systems Immunology at the Flemish Institute for Biotechnology (VIB). He is developing state-of-the-art data mining and machine learning methods for biological and medical applications, and is an expert in computational models to analyze high-throughput single-cell data. The Saeys lab provide expertise in cancer data mining, flow cytometry bioinformatics for leukaemia and lymphoma, and general biomarker discovery and systems approaches to cancer research. https://ai.ugent.be/people/YvanSaeys.en.html
Copyright (c) 2020 - 2023, Bioconductor.
Template by Bootstrapious. Ported to Hugo by DevCows. This site is powered by Netlify.