Imperial College London

DrXeniaMiscouridou

Faculty of Natural SciencesDepartment of Mathematics

Lecturer in Statistics
 
 
 
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Contact

 

x.miscouridou Website

 
 
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Location

 

Huxley BuildingSouth Kensington Campus

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Summary

 

Summary

I am a Lecturer in Statistics in the Department of Mathematics at Imperial College London and also a member of the Imperial-X initiative in machine learning, artificial intelligence and data science. 

My main research interests are in the broad area of Bayesian statistical machine learning aiming to build methods that combine the strengths of statistics and computation aspiring to answer scientific questions with real life impact. 

My research focuses on statistical network/graph modelling, Bayesian Nonparametrics, stochastic process modelling and deep generative models.

I also enjoy working in other areas of deep learning, infectious disease modelling, Covid-19 research, branching processes. 

I am interested in new PhD students. If you find my research area interesting don't hesitate to contact me.

Publications

Journals

Todeschini A, Miscouridou X, Caron F, 2020, Exchangeable random measures for sparse and modular graphs with overlapping communities, Journal of the Royal Statistical Society: Series B (statistical Methodology), Vol:82, ISSN:1369-7412, Pages:487-520

Conference

Miscouridou X, Modelling sparsity, heterogeneity, reciprocity and community structure in temporal interaction data, Neural Information Processing Systems

More Publications