Isabel specialises in the intersection of Artificial Intelligence (AI), clinical medicine and healthcare inequalities. She works part-time as an emergency doctor in addition to pursuing her PhD which focuses on supervised and unsupervised machine learning methods for bias mitigation in medical algorithms. She has experience in international settings both in her clinical work, and in policy settings at the United Nations. Clinically, she has worked in humanitarian and conflict areas in adult and paediatric emergency medicine. In international policy settings she has focused on the ethics of neurotechnology, artificial intelligence, reproductive technology and the impact of climate change on human civilisation. Her interests include AI and neurotechnology, healthcare disparities, global health, and gender-based violence. She has published work that highlights bias in medical algorithms, the role of AI in psychiatry, and the impact of technology on healthcare inequalities and gender-based abuse.