DescriptionThis minisymposium brings together a community of scientific researchers to discuss how advances in high-performance computing (HPC) and large language models (LLMs) can accelerate scientific discovery, particularly in biological domains. LLMs have recently demonstrated powerful expressivity in domains outside of natural languages, such as protein-sequence models, gene-sequence modeling, and drug design. However, applying LLMs to scientific domains presents numerous challenges, including the need for large-scale HPC resources, new methods for probing our understanding of models, and techniques to ground the output of LLMs in scientific literature and theory. Confirmed speakers include Professor Connor Cooley (MIT), Professor Ellen Zhong (Princeton), and Professor Burkhard Rost (Technical University at Munich), who will present their research on the application of LLMs to a broad range of scientific disciplines. Through discussing both the domain and computational advances alongside current obstacles, the symposium aims to develop a clear research agenda forward for incorporating LLMs into scientific discovery.