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.
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.
x [dot] miscouridou [at] imperial [dot] ac [dot] uk