L=Lecturer, SL= Senior Lecturer, R=Reader, P=Professor, C=Chair, AP=Associate Professor.
- Adams, N; P of Statistics; deputy director of Imperial Data Science Institute.
- Akyildiz, O. D; Lecturer (Assist Prof ) in Statistics, computational statistics, generative models, statistical machine learning
- Ashby, D; C in Medical Statistics & Clinical Trials, President-elect of the RSS.
- Barahona, M; C in Biomathematics, director, EPSRC Centre for Maths of Precision Healthcare.
- Battey, H; L in Statistics, statistical theory, inference for high dimensional models.
- Berestycki, J; AP of Probability, branching processes, random trees.
- Bodenham, D; L in Statistics, streaming data analysis, changepoint and outlier detection.
- Bravi, M; L in Biomathematics.
- Bronstein, M; C in Machine Learning and Pattern Recognition.
- Caron, F; AP of Statistics, networks, machine learning, Bayesian nonparametrics.
- Cartis, C; AP of Applied mathematics, numerical optimization.
- Cohen, E; L in Statistics, multivariate time series, point processes, statistical image processing.
- Cucuringu, M; AP in machine learning, networks, time series, statistical analysis of financial data.
- Deligiannidis, G; AP of Statistics, applied prob., computational statistics, MCMC, stochastic processes.
- Deane, C; P of Structural Bioinformatics, protein structure and interaction networks.
- Donnelly, C; P of Applied Statistics, Oxford and P of Statistical Epidemiology, Imperial.
- Donnelly, P; P of Statistical Science, statistical genetics, population genetics.
- Doucet, A; P of Computational statistics, statistical machine learning and Monte Carlo methods.
- Duncan, A: AP of Statistics.
- Etheridge, A; P of Probability, probability, superprocesses, biological populations.
- Evangelou, M; L in Biostatistics in Maths Department (50%), School of Public Health (50%).
- Evans, R; AP in Statistics, causal inference, graphical models, algebraic statistics.
- Flaxman, S; L in Machine Learning and Big Data.
- Filippi, S; L in Biostatistics, computational statistics methodology, motivated by applications in computational biology.
- Gal, Y; AP of Machine Learning, Bayesian Neural networks, Bayesian Deep Learning.
- Gandy, A; C in Statistics; computational statistics, Bayesian models, networks, and survival analysis.
- Glocker, B; SL in Medical Image Computing, Artificial Intelligence and Machine Learning.
- Hairer, M; C in Probability and Stochastic Analysis. Fields Medalist.
- Heard, N; C in Statistics, Bayesian methods, cyber-security, healthcare monitoring.
- Hein, J; P of Bioinformatics, Statistical & algorithmic aspects of molecular evolution.
- Holmes, C; P of Biostatistics, biostatistics, computational statistics, machine learning and statistical genomics.
- Jones, N; P of Mathematical Sciences
- Kanade, V; AP of Computer Science, computational learning theory, machine learning.
- Kantas, N; L in Statistics, computational statististics, optimisation and stochastic decision making.
- Martin, J; P of Probability, probability theory, applications in statistical physics & theoretical computer science.
- McCoy, E; P of Statistics, causal inference, time series, complex transportation systems.
- Miscouridou, X; L in Statistics.
- Misener, R; SL in optimisation methods and computational software.
- Morris, G; AP of Systems Approaches to Biomedical Methods for computer-aided drug discovery.
- Monod, A; L in Biomathematics
- Mortlock, D; SL in Astrostatistics, Bayesian methods.
- Myers, S; P of Mathematical Genomics, statistical genomics, model-based computations.
- Nason, G; C of Statistics, Time series including on networks, statistical learning, unsupervised learning, statistics in Government.
- Nicholls, G; AP of Statistics, Bayesian inference, mathematical modelling, uncertainty quantification.
- Pakkanen, M; L in Mathematical Finance & Statistics, statistical modelling of financial markets.
- Palamara, PF; AP of Statistical and Population Genetics, statistical ML.
- Papatsouma, I; TF in Statistics; Clustering mixed type data, Distribution theory, Detection of image alterations.
- Passeggeri, R; L of Statistics, stochastic processes, extreme values, robust statistics.
- Pike-Burke, C; L in Statistics.
- Rainforth, T; Senior Research Fellow in Statistical Machine Learning; deep generative models, Bayesian inference, probabilistic programming.
- Ratmann, O; L in Statistics, statistical methods for infectious and public health interventions.
- Ray, K; L in Statistics
- Rebeschini, P; AP of Statistics, algorithms and foundations of Machine Learning.
- Reinert, G; P of Statistics, applied probability, statistical network modelling, Stein’s method.
- Rousseau, J; P of Statistics, frequentist properties of Bayesian methods, particularly nonparametric Bayesian Methods.
- Salvi, C; L in Machine Learning, Imperial X.
- Sanna Passino, F; L in Statistics, Bayesian methods, dynamic networks, statistical cyber-security.
- Sejdinovic, D; AP of Statistics, machine learning and statistical methodology with a focus on nonparametric and kernel methods.
- Steinsaltz D; AP of Statistics, probability, statistics and demography, Bayesian statistics.
- Tanner, J; P of Mathematics, mathematics of information, matrix completion, compressed sensing.
- Teh, YW; P of Statistical ML, Bayesian nonparametrics, deep & reinforcement learning.
- van de Wilk, M; L (Imperial) in Computing from 2020.
- van Dyk, D; C in Statistics, Bayesian modeling & computing, causal inference; astrophysics.
- Veraart, A; P of Statistics, statistical methods for stochastic processes, applied probability.
- Young, A; C in Statistics, methodological & theoretical & computationally intensive statistics.
- Windmeijer, F; Professorial Research Fellow
- Zafeiriou, S; R in ML & Computer Vision; statistical ML, component analysis & kernel learning.;