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Awarded Projects

Collaborative Research Programme
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Research Infrastructure Programme
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2018
2019
2020
2021
2022
2023
2023
SE3D: Synthetic health data: ethical development and deployment via deep learning approaches
Martin Bøgsted – Professor, Center for Clinical Data Science, Aalborg Universitet
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Tensor Networks for Data Science: Stability, Efficiency and Explainability at Scale
Morten Mørup –Professor, Section for Cognitive Systems, DTU Compute, Danmarks Tekniske Universitet
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Unravelling shared disease mechanisms of ADHD and obesity by large-scale multidimensional data analyses
Ditte Demontis –Professor, Department of Biomedicine, Aarhus Universitet
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Deep Fetal Development: AI for Fetal Development Analysis and Impact on Future Health of Mother and Child
Mads Nielsen –Professor, Department of Computer Science, Københavns Universitet
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2022
MOPITAS – Multi-omics profiling in time and space
Richard Röttger – Associate Professor, Department of Mathematics and Computer Science, Syddansk Universitet
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Reading the Reader
Per Bækgaard – Associate Professor, Department of Applied Mathematics and Computer Science (DTU-Compute), DTU
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CAZAI: CAZyme Specificity Prediction Using AI
Bernard Henrissat – Professor, Department of Biotechnology and Biomedicine, DTU
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2021
Risk-assessment of Vector-borne Diseases Based on Deep Learning and Remote Sensing
Jakob Brandtberg Knudsen, The Royal Danish Academy of Fine Arts
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DIRECTION – Data science driven leaf architecture optimization
Staffan Persson, University of Copenhagen
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CRISPRnet: Deep learning and data-driven CRISPR design for network-based multiplexed targeting
Jan Gorodkin, University of Copenhagen
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Mutational processes in spermatogenesis and their consequences for human health
Mikkel Heide Schierup
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2020
Machine learning methods for data-driven discovery of antibiotic resistance plasmid dissemination and evolution
Søren Sørensen, University of Copenhagen
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Center for Basic Machine Learning Research in Life Science
Ole Winther, University of Copenhagen
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