Applications of deep-learning in life sciences (DeepLife)

Leading university:		Heidelberg University
Project leader:		Prof. Dr. Carl Herrmann, Faculty of Engineering Sciences
Contact:
Flagship:		Flagship 3: Digitisation - Modelling - Transformation
Participating universities:		Charles University, Heidelberg University, Sorbonne University, University of Milan, University of Warsaw

Project DeepLife is a comprehensive and application-oriented teaching project aimed at introducing students to advanced algorithms and applications of deep learning in life sciences. The project builds on existing complementarities between the bioinformatics master programs of five universities and offers a new and comprehensive course covering various aspects of deep learning approaches in life sciences. The project will focus on three active application areas of deep learning in life sciences: structural bioinformatics, application of deep learning to single-cell genomics, and biomedical image analysis. The course will be conducted in a hybrid mode, with online lectures by teachers from different institutions and on-site practical exercises in the form of Q&A sessions in smaller groups. The objective of the project is to bring together strong and complementary expertise in structural bioinformatics, single-cell genomics, and image analysis from different universities. The course will culminate in a 2-day on-site hackathon where mixed teams will work on small implementation projects related to selected topics of deep learning.