Leandra Bräuninger

Leandra Bräuninger is a doctoral student researching 'Machine Learning for Mitigating Discrimination in Medicine and Healthcare' at the University College London supervised by Dr Brieuc Lehmann and Prof. Ioanna Manolopoulou. Research interests include interdisciplinary approaches to algorithmic fairness, actionable equity, conformal prediction, counterfactual frameworks and causal inference to name a few.

Previously, Leandra held research and/or teaching positions in the areas of statistical fairness in genomics, mathematical malaria prediction, and fundamental biology at the Alan Turing Institute (London, UK), the Mathematical Biology Group at the University of Melbourne (Australia), and the Centre for Active Learning in the Department of Biology at ETH Zurich (Switzerland).

Leandra’s academic degrees in Mathematical Modelling of Global Health (MSc University of Oxford), Data Science and International Relations (BA University of St. Gallen), and work experience in HealthTech startups (Haplo Care, MiData) have led to a keen interest in the intersection of health - equity - technology. More specifically, in AI methods which improve medicine and healthcare for the whole of society (and not just a privileged few). To this end, the focus of the PhD is on the development of new, equitable AI systems with extensive interdisciplinary contextualisation.