I am a PhD student focussing on Explainable Artificial Intelligence (XAI) for Multimodal Life Science data. Integrating life science data from diverse modalities such as genomics, medical imaging, or other high-throughput biological data offers a promising approach for improving deep learning-based patient diagnosis, prognosis, and stratification. By developing XAI techniques, we aim to improve the interpretability and performance of such multimodal models, to increase trust and expanding the use of AI in life sciences and precision medicine.