Xenia Miscouridou is a Lecturer at the Department of Mathematics and Statistics of the University of Cyprus and an Honorary Lecturer at Imperial College London.

She completed her undergraduate studies at Imperial College London (BSc in Mathematics, 2014), her postgraduate studies at the University of Cambridge (Master in Advanced Study in Mathematics – known as Part III of the mathematical tripos, 2015) and she obtained her PhD in Statistics and Machine Learning from the Department of Statistics, University of Oxford (DPhil in Statistics, 2020).
Xenia was a research visiting scholar at the Courant Institute at NYU (2018) and she held a research appointment with the Alan Turing Institute (2019-2020).

She worked as a Data Scientist at Google (2018), as a Machine Learning Scientist at the Investments AI team of AIG in London (2020), a Postdoctoral Researcher at the Department of Mathematics at Imperial College London (Postdoctoral Researcher, 2021-2022) and a Research Fellow the Department of Computing of the University of Oxford (Junior Research Fellow of Wolfson College, 2022) and she was a Lecturer (2022-2023) at the Department of Mathematics and the I-X Center for Artificial Intelligence of Imperial College London.

Her research interests are in the broader area of Statistical Machine Learning. She works on Bayesian Nonparametrics, modelling complex networks (mostly social networks), spatiotemporal modelling with stochastic processes, explainable machine learning (bias and generalisation in neural networks) and Large Language Models.

Xenia was recently listed as one of the Forbes under 30 in Europe in the sector of Science and Healthcare. She was the Chair of j-ISBA, the early career section of the International Society of Bayesian Analysis (ISBA) and has served in the Program and Organization Committees for international conferences and workshops (WiML 2020, ISBA 2021, BAYSM 2024).