Recent grants

• GKN Aerospace (2019), Sweden, Application of deep learning in aerospace industry manufacturing, 2.053.400 DKK, one PhD student.
• Independent Research Fund Denmark-FTP (2020), Deep probabilistic programming for protein structure prediction, 5.901.438 DKK, two PhD students and one 3-year postdoc (1 year additional co-funding from KU). Co-applicant: Prof. Fritz Henglein. (DIKU).
• Innovationsfonden and Evaxion (2019), Accelerating vaccine development through a deep learning and probabilistic programming approach to protein structure prediction, 2.516.572 DKK, one PhD student.
• Villum fonden (2022), Predicting protein structure, mutations and dynamics with deep generative models, one postdoc 1.837.956 DKK