CausalBiome: Developing a unified statistical framework for analyzing microbiome data

Efficient, high-resolution approaches for integrative sequencing analysis of complex diseases

Islet Cartography – Multi-layered mapping of islets of Langerhans in health and disease

Enhancing statistical methodology for toxicophenomics: High-throughput and high-dimensional data for ecotoxicological risk assessment

First principal models, neural networks and functional graphical models for Defining metabolic capacity as a Tool for Personalized nutrition (FOODTOP)

Novel methods to model mutational processes in germline and cancer

Providentia: Privacy-driven Trust in Algorithms

The Danish Data Science Academy