I am a Lecturer at the Department of Mathematics and Statistics at the University of Cyprus since August 2023.
In 2022-2023 I was a lecturer at Imperial College London, at the Department of Mathematics and Imperial X, a new center for driving innovation in digital technologies, machine learning and artificial intelligence.
I am part of Machine Learning & Global Health Network, a multi-organisation network across UK, Denmark, Singapore and Germany.
Before, I was a Postdoctoral Researcher and Junior Research Fellow at the Department of Computer Science at the University of Oxford and Wolfson College and a Research Associate at the Department of Mathematics at Imperial College London advised by Seth Flaxman.
I did my PhD in Oxford Statistics Department advised by Francois Caron and Yee Whye Teh.
Leadership in Statistics and Machine Learning Community
I am very honoured and happy to be selected as one of the Forbes under 30 in Science and Healthcare. Huge congratulations to the full class of Forbes Europe 2022!
I was the Chair of j-ISBA, the junior section of the International Society of Bayesian Analysis aiming to promote early career researchers and give them visibility for the next steps.
I have co-founded Women in Data Science and Statistics (WiDSS), a special interest group under the Royal Statistical Society, which advocates for women studying and working in the field.
Research News
Keynote speaker at the Pancyprian Statistical Conference, June 2023.
Persented recent work at the CIRM conference in Marseille, June 2023.
Invited speaker for the BISP conference in Madrid, May 2023.
Contributed talk at the 13th International Conference on Bayesian Nonparametrics in October 2022.
Research
My research intersts lie in the broad area of statistical machine learning with broader goal to build methods that combine the strengths of statistics and computation aspiring to answer scientific questions with impact in real life.
My research interests include Bayesian non parametrics, random graph modelling, temporal and spatiotemporal interaction data, stochastic processes, and deep generative models with focus on explainable Machine Learning. The application areas I look at are epidemiology, social science and the environment.
Students
I am co-supervising Iwona Hawlyruk on her PhD on Bayesian Statistics and Machine Learning methods applied in Epidemiology.
If you are interested in a PhD at Imperial working with me, feel free to send me an email to discuss this. See also the PhD studentships at Imperial and two EPSRC CDTs joint with the University of Oxford: StatML-Modern Statistics and Statistical Machine Learning and Mathematics of Random Systems: Analysis, Models and Algorithms.
Contact Information
Email: xeniamisc [at] gmail [dot] com
x [dot] miscouridou [at] imperial [dot] ac [dot] uk