Modeling, analysis, and simulation are nowadays major tools in biomedicine and biology. Adequate mathematical approaches and computational tools are required to incorporate incoming experimental observations and to handle novel problems. To produce predictive models of complex behavior such as cell dynamics, tissue development, tumor growth, biofilm formation, immune response or neurodegenerative diseases, information is transferred between scales. This requires previous developments in many directions: studies at specific scales (gene regulation, molecular structures, proteins, membranes, cells, tissues…), ability to extract meaningful information from large data sets or from complex networks, multiscale techniques… Breakthroughs are frequently achieved due to interdisciplinary efforts and transfer of knowledge between fields. This workshop aims to create an environment in which experts in related disciplines can present and discuss developments in contact with observations.