Imperial College London


Faculty of Natural SciencesDepartment of Mathematics

Professor of Statistics



+44 (0)20 7594 8837n.adams Website




544Huxley BuildingSouth Kensington Campus





Niall Adams is Professor of Statistics at Imperial College London. In addition to a variety of undergraduate and postgraduate teaching, he conducts research in classification, data mining, streaming data analysis and spatial statistics. Applications for this research are diverse, including bioinformatics, cyber-security  and retail finance.

Dr Niall Adams' personal web page can be found at




Other Significant Activities

Editorial panel for Applied Statistics,  Journal of the Royal Statistical Society Series C (2008-2012)

Editorial panel for Statistical Analysis and Data Mining (2009-2014)

Plenary Lectures

Ed: Big Data in Cyber-Security: Host-Based IP Flow Monitoring using Adaptive Estimation”, (invited keynote) SITA 13, 8th International Conference on Intelligent Systems: Theories and Applications, Rabat, Morocco, (2013)

“Efficient streaming classification methods”, (invited), German Classification Society, Karlshrue, Germany (2010). 

 “Temporally-adaptive linear classification for handling population drift in credit scoring”, (invited), COMPSTAT 2010, Paris, France (2010). 



Li Y, Bellotti A, Adams N, Issues using logistic regression with class imbalance, with a case study from credit risk modelling, Foundations of Data Science

Plasse J, Adams N, 2019, Multiple changepoint detection in categorical data streams, Statistics and Computing, Vol:29, ISSN:0960-3174, Pages:1109-1125

Lu X, Adams N, Kantas N, 2019, On adaptive estimation for dynamic Bernoulli bandits, Foundations of Data Science, Vol:1, ISSN:2639-8001, Pages:197-225

Bakoben M, Bellotti A, Adams N, Identification of credit risk based on cluster analysis of account behaviours, Journal of the Operational Research Society, ISSN:0160-5682


Lau D-H, Adams NM, The importance of analysing data from instrumented infrastructure, International Conference on Smart Infrastructure and Construction

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