Hi, my name is Joe. I'm a PhD researcher in High Energy Physics at University College London, working within the CDT in Data Intensive Science and the ATLAS collaboration at CERN. I build tools to increase the efficiency of large experimental collaborations, so that we can learn more about physics!One such tool is Contur, which repurposes published measurements from ATLAS and CMS to constrain physics beyond the Standard Model. This data re-use allows theorists to directly compare the signatures of their model against data from hundreds of analyses, all without the need for a bespoke search from the LHC experiments. This reduces model to insight time from years to hours.Another challenge in large scientific collaborations is the amount of internal documentation, often disjointed, spread across multiple forms and difficult to search. To address this problem of efficient information retrieval, we propose chATLAS, an AI assistant for the ATLAS collaboration that works using retrieval augmented generation (RAG). I am the core developer of chATLAS, tasked with scaling the tool from proof-of-concept to production. In 6 months of production, chATLAS has answered 5,000 queries from ATLAS physicists, and was recently endorsed by a group convener as the go-to tool for information retrieval in the collaboration of over 3,000 physicists.Outside particle physics, I have applied natural language processing and large language models to social science, with a quantitative study of immigration rhetoric in UK politics with The Guardian.