Members of the Statistical Laboratory

 

Director

Professor Richard Samworth [Personal Home Page]
Statistics: especially Nonparametric and High-Dimensional Problems.

Academic Staff (University Professors, Readers and Lecturers)

Professor John Aston [Personal Home Page]
Statistics: in particular Functional/Object Data Analysis, Time Series Analysis, Statistical Neuroimaging, Statistical Linguistics, Seasonal Adjustment and other Applied Statistics

Dr Sebastian Andres [Personal Home Page]
Probability theory, stochastic analysis, random processes in random environment, heat kernels, stochastic processes with reflection.

Dr Sergio Bacallado [Personal Home Page]
Bayesian methods and Bayesian nonparametrics, analysis of Markov models, and applications to biology and biophysics

Dr Roland Bauerschmidt [Personal Home Page]
Probability theory and analysis, in particular in their applications to statistical mechanics.

Professor Nathanael Berestycki [Personal Home Page]
Probability theory. More specifically, Gaussian free field, SLE, dimer model, Liouville quantum gravity, random graphs, random walks and mixing times, branching and coalescing systems, and relation to partial differential equations.

Dr Quentin Berthet [Personal Home Page]
Statistics, Machine Learning, High-dimensional problems and trade-offs

Professor Geoffrey Grimmett [Personal Home Page]
Probability Theory, Combinatorial Theory, Stochastic Models in Statistical Physics, Probabilistic Number Theory

Professor Frank Kelly, FRS [Personal Home Page]
Random Processes, Networks and Optimization, especially Applications to the Design and Control of Networks and the understanding of Congestion Phenomena

Dr Kaisey Mandel

Dr Jason Miller [Personal Home Page]
Schramm-Loewner evolution, Gaussian free field, Liouville quantum gravity, random planar maps, random walks, mixing times for Markov chains.

Professor Richard Nickl [Personal Home Page]
Mathematical Statistics: nonparametric and high-dimensional inference, Bayesian nonparametrics, statistical inverse problems

Professor James Norris [Personal Home Page]
Stochastic Analysis, Markov chains, dynamics of interacting particles, Malliavin calculus, coagulation and aggregation, scaling limits

Dr Rajen Shah [Personal Home Page]
High-Dimensional Statistics and Large-Scale Data Analysis

Professor David Spiegelhalter, FRS [Personal Home Page]
Public understanding of uncertainty and risk, Bayesian Methods, Biostatistics, Performance Assessment

Dr Perla Sousi
Random Walks, Brownian Motion, mixing times of Markov chains, Poisson Brownian Motions, Rearrangement Inequalities

Dr Mike Tehranchi[Personal Home Page]
Financial Mathematics, Stochastic Analysis

 

Affiliated Lecturers

Dr Sumeetpal Singh (Department of Engineering)

Dr Peter Treasure

 

Emeritus Academic Staff

Dr Pat Altham[Personal Home Page]
Analysis of Discrete Data, Multivariate Analysis, Generalized Linear Modelling, R, Graphical Methods, Statistical Consulting

Professor Philip Dawid[Personal Home Page]
Foundations of Probability and Statistics; Evidential Reasoning; Causal Inference; Graphical Models; Forecasting Systems; DNA Profiling

Professor Michael Dempster [Personal Home Page]
Mathematical and Computational Finance and Economics, Optimization and Nonlinear Analysis, Stochastic Systems, Algorithm Analysis and Applications Software

Dr Doug Kennedy[Personal Home Page]
Limit Theorems in Applied Probability, Sequential Decision Processes, Optimal Stopping, Financial Modelling

Dr Susan Pitts
Nonparametric Estimation and Approximations in Stochastic Models; Queueing Theory; Insurance Mathematics

Professor Chris Rogers [Personal Home Page]
Financial Mathematics, Probability Theory, Stochastic Analysis, Statistics, Mathematical Economics

Professor Yuri Suhov [Personal Home Page]
Statistical Mechanics, Communication Theory, Queueing Systems, Networks including Neural Networks.

Professor Richard Weber[Personal Home Page]
Mathematics for Operational Research and Systems; models in Telecommunications and Operations Management; Control of Queues, Stochastic Networks, on-line Bin-Packing, Ergodicity of Markov Processes, Optimal Search, Stochastic Scheduling, Dynamic Resource Allocation, Financial Mathematics.

Professor Peter Whittle
Sequential Optimisation Problems, Stochastic Processes, Neural Networks


Research Staff (Research Associates, Research Fellows, and other attached academic staff)

Dr Angelica Aviles Rivero [Personal Home Page]
Motion estimation, motion understanding, inverse problems, medical imaging, computational analysis, machine learning, medical robotics and predictive analytics.

Tom Berrett
Developing statistical theory and methodology for nonparametric problems. Currently my work is particularly focused on k-nearest neighbour methods in entropy estimation, independence testing and classification.

Dr Alberto J. Coca [Personal Home Page]
Mathematical Statistics: nonparametric inference, inverse problems (especially inference on discretely observed stochastic processes) and empirical process theory.

Dr Tom Hutchcroft [Personal Home Page]
Planar graphs, circle packing, random graphs, maps, and other structures, random walk, potential theory, spanning forests, percolation, spin systems, self-avoiding walk, probability on groups, random permutations.

Dr Jonathan Hermon [Personal Home Page]
Problems in discrete probability theory with a special emphasis on problems related to the theory of mixing times of Markov chains and the cutoff phenomenon. Particle systems driven by random walks and on dependent percolation.

Dr Hanne Kekkonen - CCIMI
Statistical inverse problems, regularisation and uncertainty quantification.

Dr Marcin Lis [Personal Home Page]
Statistical mechanics, combinatorics and scaling limits

Dr Pan Liu
Calculus of Variations, Nonlinear Partial Differential Equations, and Machine Learning, with a special emphasis on problems stemming from image processing and material sciences

Dr Wei Qian [Personal Home Page]
Statistical mechanics, Brownian loop-soups, Gaussian Free Field, SLE, CLE

Dr Kayvan Sadeghi [Personal Home Page]
Markov models and network models with a special interest in the conditional independence structures of such models.

Dr Vittoria Silvestri [Personal Home Page]
Hastings-Levitov models, Internal DLA, random growth models, random walks on quasi 1d structures

Dr Tengyao Wang [Personal Home Page] - CCIMI
High dimensional statistics and computational lower bounds for statistical problems.

Dr Jingjing Zou
Current work focuses on applying recent developments on Kronecker products to statistical models in imaging and genetics.

Research Students supervised by members of the Statistical Laboratory

Kweku Abraham - CCA
Nikolay Baldin - CCA
James Bell - CCA
David Driver - CCA
Oliver Feng
Karen Habermann - CCA
Matteo Giordano - CCA
Adam Goucher
Henry Jackson
Adam Kashlak - CCA
Natalia Kudryashova - CCA
Eardi Lila - CCA
Matthias Loeffler [Personal Home Page] - CCA
Preeyan Parmar
Ellen Powell - CCA
Cambyse Rouzé - CCA
Mark Rowland - CCA
Torben Sell [Personal Home Page] - CCIMI
Ben Stokell [Personal Home Page]- CCIMI
Sam Thomas
Sven Wang - CCA
Mo Dick Wong - CCA

Research Students based at MRC-BSU

Annabel Allison
Daniel Ahfock
Maxine Bennett
Francesco Brizzi
Susan Connolly
Alice Corbella
Evelina Gabasova
Lisa Law
Finbarr Leacy
Brieuc Lehmann
Emma McCallum
Matthew Pearce
David Robertson
Paula Siemek
Claire Simons
Magdalena Strauss
Alexandra Turner
Petras Verbyla
Fan Wang
Lan Wen

Visitors

Changlong Yao, Academy of Mathematics and Systems Science, Chinese Academy of Sciences. 

Visiting Students

Alessandro Casa, University of Padova
Fan Yang, University of chicago

Administrative Staff

Julia Blackwell PA to Director of the Statistical Laboratory and Head of Department

Dr Eva Myers[Personal Home Page] Computer Officer

John Shimmon Assistant Secretary