I am a postdoctoral researcher at the German Cancer Research Center and the Wellcome Sanger Institute interested in developing statistcal methods for the integrative analysis of multi-modal data across omic technologies, time and space.

I am mathematician by training and obtained a PhD in statistics from ETH Zurich and EMBL Heidelberg working with Peter Bühlmann and Wolfgang Huber. Since 2019, I am postdoc at the German Cancer Research Center. As a visiting researcher I worked with Susan Holmes at Stanford University and with Dagmar Iber at D-BSSE and am currently affiliated to the Wellcome Sanger Institute in Cambridge.

In my research, I aim to apply statistical reasoning in combination with modern machine learning approaches to gain insights into fundamental processes that underly complex biological systems. For this I develop statistical methods and computational tools to analyse and integrate ’omics data and apply them in a variety of fields including personalized medicine, cancer biology, single cell biology and developmental biology. The tools and methods I develop are available from Bioconductor, PyPI and GitHub.

You can find me on Twitter, LinkedIn, Google Scholar and GitHub.

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