Dr Wheeler has a background in biochemistry and microbial genomics, complemented by experience in developing machine learning methods for predicting the effects of genetic variation on the virulence of pathogens. Her work focuses on the development of screening tools for identifying DNA from emerging biological threats, establishing genomic pathogen surveillance in resource-limited settings, One Health surveillance of antimicrobial resistance, and the ethical development of artificial intelligence (AI) for health applications. She has provided expertise on machine learning for genomic pathogen surveillance for several international programs, including a world-first AI-driven One Health AMR surveillance system. She is also actively involved in public outreach and the development of governance frameworks to ensure the safe and responsible development of technologies for health improvement.