Xenia Miscouridou is a lecturer in Statistics at the Department of Mathematics Imperial College London and a faculty member of the I-X centre on driving innovation in cross-disciplinary research in artificial intelligence, machine learning and digital technologies. She obtained her PhD from the University of Oxford during which she held research visits and appointments with NYU, the Alan Turing Institute in London and Google Zurich, and subsequently worked as a Machine Learning Scientist at Investments AI, in AIG. Her research is in the broader area of Statistical Machine Learning focusing on the development of methodology which she uses to answer impactful questions in social science, networks and public health.
She was recently listed as one of the Forbes under 30 in Europe in the sector of Science and Healthcare.
Xenia is passionate to promote and make a difference to the culture of the global statistical and machine learning community. She is the President of the junior section of the International Society of Bayesian Analysis, promoting early career researchers to give them visibility for their next steps. She has co-founded Women in Data Science and Statistics, under the Royal Statistical Society, which advocates for women studying and working in the field.