Arthur Funnell is a data scientist at UCLA Health, where he works on a diverse portfolio of projects spanning natural language processing, machine learning, and predictive modeling in public and clinical health. His research interests lie in equity, fairness, and model explainability, optimizing large language models and developing toolkits for researchers. Arthur holds a degree in Human-Computer Interaction from the University of Manchester, United Kingdom, combining neuroscience, psychology, and computer science. Prior to UCLA, he worked at AstraZeneca, applying data science in the chemistry and drug discovery space.