The 2024 Nobel Prize in Chemistry was awarded to AI-based protein structure prediction and protein design. It highlights the immense potential of AI in basic science and health research. In the meantime, generative AI models such as large language models (LLMs) and diffusion models are acquiring impressive capabilities in generating language, creating artwork, solving complex reasoning problems, writing computer programs, etc. To further facilitate the dialog between machine learning and biology, we propose to organize a workshop at ICML 2025, focusing on generative AI for biological discovery and therapeutic design. By fostering connections among preeminent researchers from both industry and academia, we aim to gain critical insights into the future of generative-AI-driven biology. Moreover, we hope to bridge the gap between machine learning and biological disciplines by focusing on three central themes that encapsulate innovative research as well as practical implications, which span both cutting-edge research and translational impact.