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Awarded Projects

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Year
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2018
2019
2020
2021
2022
2023
2023
Early detection of epidemics in livestock and wildlife using deep learning
David Duchene Garzon, University of Copenhagen
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Specific gene regulation in space and time through oscillations and liquid-liquid phase separation
Mathias Spliid Heltberg, University of Copenhagen
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Mechanoreciprocity in in-silico biological matter
Kristian Thijssen, University of Copenhagen
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Data-adaptive targeted machine learning methods for analyzing dynamic treatment effects in observational healthcare data
Helene Charlotte Wiese Rytgaard, University of Copenhagen
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New computational approaches for understanding the emergence of social network structures
Josefine Bohr Brask, University of Copenhagen
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2022
ALFADIAB – Algorithmic Fairness in Diabetes Prediction
Tibor V. Varga, University of Copenhagen
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Integration of longitudinal multimodal data in clinical risk prediction using deep learning
Adam Hulman, Steno Diabetes Center Aarhus
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2021
Enhancing statistical methodology for toxicophenomics: High-throughput and high-dimensional data for ecotoxicological risk assessment
Signe M. Jensen, University of Copenhagen
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Islet Cartography – Multi-layered mapping of islets of Langerhans in health and disease
Jesper Madsen, University of Southern Denmark
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Efficient, high-resolution approaches for integrative sequencing analysis of complex diseases
Shilpa Garg, University of Copenhagen
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CausalBiome: Developing a unified statistical framework for analyzing microbiome data
Niklas Pfister, University of Copenhagen
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2020
Data science approaches to study epidemiological and genetic underpinnings of hypothyroidism to pave the way for precision medicine
Tugce Karaderi, University of Copenhagen
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Differentiable Physical Models for Data Analysis in Biology
Julius Kirkegaard, University of Copenhagen
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Leveraging artificial intelligence for pancreatic cancer diagnosis, treatment planning and treatment outcome prediction
Bulat Ibragimov, University of Copenhagen
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