Thomas Höllt

My main research is on the visual analysis of high dimensional data with a strong focus on the Cytosplore project. Cytosplore is a framework for visual analysis of single cell data acquired using Mass Cytometry. The data consists of high dimensional expression data for single cells taken through blood- or tissue samples.

Previously I worked on visualization of ensemble data and uncertainty, mostly for ocean forecasts, but also in other geological and geophysical applications. I developed Ovis, a framework for visual analysis of ocean forecasts.

We have open projects within the Cytosplore project including a project on classification of cellular expression data through dimensionality reduction. If you’re interested in working with me on this or other projects involving biological visualisation for your master thesis project, please contact me directly, or Dr. A. Vilanova to discuss the possibilities.

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