Spatial data analysis

Arne holds a masters degree in Mathematics and a PhD in Physics. After his PhD he worked as a machine learning engineer in the industry, where he specialized in natural language processing. Now he works at VIB Spatial Catalyst, where he contributed to SPArrOW, a python library to analyse all types of spatial transcriptomics data. As a member of the Spatial Catalyst he also provides support for spatial omics data analysis and helps optimize bioinformatic tools for spatial analysis.

In his PhD at the VIB Yvan Saeys Lab, Benjamin brings AI-Driven data science to life sciences. His main research topics are computer vision, active learning and spatial proteomics analysis. He gave courses in computational biology, organizes hackathons, and coaches public speaking workshops . He worked on the BioSegment platform for annotation of images and the spatial omics processing framework, SpatialData.

After working as a software developer in a company on physics-based modeling and 2D and 3D computer graphics, Frank joined VIB in 2016 to work on image restauration and registration of electron microscopy images, machine learning,... Via VIB's first imaging-based spatial proteomics platform, he got involved in spatial omics data analysis, and naturally joined the Spatial Catalyst when it was formed in 2023, to continue work on data analysis and development of analysis pipelines.

Julien obtained his PhD on phenotypic heterogeneity and stress responses in bacteria. In his postdoc at SciLifeLab, he developed a machine-learning based image analysis workflow to study phenotypes of bacteria under starvation conditions and he established an end-to-end workflow for Transposon Sequencing. Now he works at VIB Spatial Catalyst, where he provides support for spatial omics data analysis and helps optimize bioinformatic tools for spatial analysis.

Lotte Pollaris pioneered research on spatial transcriptomics in the VIB Yvan Saeys Lab. The focus of her research is to optimize analysis workflows for subcellular resolution spatial transcriptomics. She has created SPArrOW, a workflow to analyse all types of spatial transcriptomics techniques. Lotte teaches programming in Python and was involved in teaching deep learning for biology. Additionally, she works on improving the SpatialData data format for spatial omics data in Python.