Using machine learning to find new molecules is an exciting but challenging task. In his presentation, Stefan presents his experience in designing immunotherapies using machine learning. He will review the latest work in the field and discuss the challenges of working with omics data. Deep learning can be used to understand the function of immune cells using a large repository of labeled data. However, the enormous variety of immune cell structures and functions makes this search problem extremely difficult to solve. Stefan shows how Remissio is using reinforcement learning to optimize proteins for desired properties.