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We are interested in developing and applying computational statistics and data science methods for the analysis of biological systems. We particularly focus on microbial ecosystems and their interplay with the host and the environment, including the human microbiome and marine ecosystems. To elucidate the complex interplay in living systems, we analyze multi-omics high-throughput data, in particular amplicon and metagenomic sequencing data, using tools from high-dimensional statistics, network inference, compositional data analysis as well as their deep learning counterparts.
“Biomedical Statistics and Data Science”