Dr Nan Liu is an Associate Professor at Duke-NUS Medicine School, National University of Singapore. His research focuses on artificial intelligence and machine learning with applications to medical informatics, health services research, emergency and critical care, cardiology, and health innovation. Specifically, Dr Liu is interested in the translation of technical solutions into clinical practice using interpretable and trustworthy artificial intelligence.
Kadri Simm is a philosopher and bioethicist from University of Tartu, Estonia. She is Chair of Practical Philosophy at Institute of Philosophy and Semiotics and a visiting research fellow at Department of Bioethics, National Institutes of Health, USA. She has published on benefit-sharing in biomedical research, biobanking, ethics of reproductive medicine and the nature of ethical decision-making. In her research she often combines theoretical and empirical methods and her most recent research focuses on the ethical and epistemic challenges of Open Science, the practice of clinical ethics consultation and the behavioural approaches in support of research integrity.
Dr Honghan Wu is an Associate Professor at the Institute of Health Informatics, University College London, United Kingdom. He holds a PhD in Computing Science and is Fellow of The Alan Turing Institute, UK's national institute for data science and artificial intelligence. His current research interest is in using text technologies and Knowledge Graph techniques to analyse health data. In particular, he is interested in quantifying and mitigating AI induced health inequality in recent years.