Christoforos Anagnostopoulos

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teaching - Statistical Modelling II
teaching - Official Statistics
teaching - Graphical Modelling
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I am a Lecturer in Statistics in the Department of Mathematics in Imperial College London, where I am teaching advanced statistical modelling, graphical modelling, and official statistics. My research lies with computational statistics, with a particular focus on streaming data analysis. My theoretical interests include streaming classification, adaptive filtering, stochastic approximation, graphical modelling, model and variable selection and online non-parametric methods.

I am interested in pursuing innovations in streaming data analysis, including network analytics (data mining on graphs, anomalous behaviour in social networks, learning in multi-agent games), business intelligence applications (energy consumption forecasting, recommender systems, online personalised advertising), retail banking (automatic fraud detection, drifting credit risk tracking), environmental monitoring applications (numerical weather forecasting, sensor networks) and quantitative finance applications (adaptive forecasting). I am also interested in official statistics and infographics.

Short Bio. I graduated with a BAHons in Mathematics from Pembroke College, Cambridge University in 2003, and then obtained an MSc in Learning from Data from the Informatics School of Edinburgh University, as well as an MSc in Logic and Algorithms from the University of Athens. I completed my PhD in the Institute for Mathematical Sciences at Imperial College London, entitled 'A statistical framework for streaming data analysis' and then worked as a Research Fellow at the Statistical Laboratory in Cambridge University. I have so far been involved in private consultancy in the security industry, and in e-commerce.