I am a Lecturer (equivalent to Assistant Professor) at the Mathematics Department of Imperial College London and a faculty member of the I-X initiative on driving innovation in machine learning, artificial intelligence and data science.
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 I was recently a Research Associate in the Statistics section of the Department of Mathematics at Imperial College London working with 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 am the 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.
I will be giving a talk at the 13th International Conference on Bayesian Nonparametrics in October 2022.
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 phd focus was on Bayesian non parametric modelling for random graphs, complex networks, time interaction data and on practical Bayesian non parametric methods and theory for a variety of applications.
My research to date includes more broadly Bayesian methods, deep generative models, unsupervised learning techniques, point processes and stochastic processes with applications in social science, epidemiology and finance.
I am 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.
Email: xeniamisc [at] gmail [dot] com
x [dot] miscouridou [at] imperial [dot] ac [dot] uk