Christoforos Anagnostopoulos

Christoforos Anagnostopoulos serves as an Honorary Senior Lecturer in the Department of Mathematics at Imperial College London's Faculty of Natural Sciences, teaching advanced courses in statistical modelling, graphical modelling, and official statistics while concurrently acting as Chief Data Scientist for the streaming data analytics start-up ment.at.

His academic foundation includes:

• BA Hons in Mathematics from Pembroke College, Cambridge University (2003)
• MSc in Learning from Data from the University of Edinburgh's Informatics School
• MSc in Logic and Algorithms from the University of Athens
• PhD in "A statistical framework for streaming data analysis" from Imperial College London

His research program specializes in computational statistics with emphasis on streaming data analysis, encompassing streaming classification, adaptive filtering, stochastic approximation, graphical modelling, and online non-parametric methods. These methodologies bridge theoretical statistics with practical applications in machine learning, artificial intelligence, and official statistics for measuring societal well-being.

He maintains active affiliations with Imperial's Dynamic Networks, Machine Learning, and Statistics in Finance research groups, complemented by private consultancy work in security and e-commerce sectors.