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.
  • 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.
  • Bellotti, A; SL in Statistics, retail credit risk, survival models and machine learning.
  • Berestycki, J; AP of Probability, branching processes, random trees.
  • Bronstein, M; C in Machine Learning and Pattern Recognition.
  • Calderhead, B; L in Statistics, MCMC, machine learning.
  • 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.
  • Deisenroth, M; L in Statistical Machine Learning.
  • Donnelly, C; P of Applied Statistics and Dept of Infectious Disease 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.
  • 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; R in Statistics, Cyber-Security, Bayesian nonparametrics.
  • Hein, J; P of Bioinformatics, Statistical & algorithmic aspects of molecular evolution.
  • Holmes, C; P of Biostatistics, biostatistics, computational statistics, machine learning and statistical genomics.
  • Kanade, V; AP of Computer Science, computational learning theory, machine learning.
  • Kantas, N; L in Statistics, computational statististics, optimisation and stochastic decision making.
  • Lau, DH; L in Statistics, anomaly detection, streaming data setting, MCMC, SMC.
  • 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.
  • Misener, R; SL in optimisation methods and computational software.
  • Morris, G; AP of Systems Approaches to Biomedical Methods for computer-aided drug discovery.
  • Mortlock, D; SL in Astrostatistics, Bayesian methods.
  • Myers, S; P of Mathematical Genomics, statistical genomics, model-based computations.
  • 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.
  • Ratmann, O; L in Statistics, statistical methods for infectious and public health interventions.
  • Rebeschini, P; AP of Statistics, algorithms and foundations of Machine Learning.
  • Reinert, G; P of Statistics, applied probability, statistical network modelling, Stein’s method.
  • Rogers, J; Director of Statistical Consultancy Services, statistical methodolgoy, clinical trials.
  • Rousseau, J; P of Statistics, frequentist properties of Bayesian methods, particularly nonparametric Bayesian Methods.
  • 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 Dyk, D; C in Statistics, Bayesian modeling & computing, causal inference; astrophysics.
  • Veraart, A; P of Statistics, statistical methods for stochastic processes, applied probability.
  • Walden, A; P of Statistics, time series, statistical methodology, applied in physics & neuroscience.
  • Young, A; C in Statistics, methodological & theoretical & computationally intensive statistics.
  • Zafeiriou, S; R in ML & Computer Vision; statistical ML, component analysis & kernel learning.
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