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Members of the Statistical Laboratory



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

Academic Staff (University Professors, Readers and Lecturers)

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

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 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

Dr Alberto J. Coca [Personal Home Page]
Mathematical Statistics: Nonparametric inference including nonlinear statistical inverse problems (especially discretely observed stochastic processes)

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

Dr Kaisey Mandel
Astrostatistics and astroinformatics, Applications in time-domain astronomy and cosmology, Bayesian modeling and inference, Statistical computation

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, empirical process theory

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

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

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

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

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.

Dr 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 Milana Gataric
Computational and statistical analysis for image and signal processing.

Dr Ewain Gwynne
Statistical mechanics, Schramm-Loewner evolution, random planar maps, Liouville quantum gravity, random walk in random environment

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 Yuan Huang

Dr Jana Jankova [Personal Home Page]
High-dimensional Statistics, Lasso, Graphical Models, Statistical Inference

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

Dr Evita Nestoridi [Personal Home Page]
Markov Chains, combinatorics, representation theory and probability

Dr Florian Pein
Nonparametric and high-dimensional statistics, large-scale data analysis

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

Dr Philip Thompson [Personal Home Page] Research interests lie at the intersection of High-dimensional Statistics, Learning and (Stochastic) Optimization

Dr Ziwei Zhu
Distributed statistical inference, robust statistics, low-rank matrix estimation.

Research Students

Kweku Abraham - CCA
Nikolay Baldin - CCA
Marin Ballu - CCA
Guillaume Baverez - CCA
James Bell - CCA
Yudong Chen - CCIMI
Thomas Du Toit - CCIMI
Oliver Feng
Karen Habermann - CCA
Matteo Giordano - CCA
Adam Goucher
Daniel Heydecker - CCA
Michael Hofstetter- CCA
Antoine Jego - CCA
Konstantinos Kavvadias - CCA
Natalia Kudryashova - CCA
Pieter Lammers - CCA
Eardi Lila - CCA
Matthias Loeffler [Personal Home Page] - CCA
Thomas Marge - CCIMI
Oliver McEnteggart - CCA
Sam Power- CCA
Andrew Swan - CCA
Torben Sell
[Personal Home Page] - CCIMI
Ben Stokell [Personal Home Page]- CCIMI
Peter Taylor - CCA
Sam Thomas
Sven Wang - CCA
Mo Dick Wong - CCA

Research Students based at MRC-BSU

Daniel Ahfock
Chiara Chiavenna
Susan Connolly
Alice Corbella
Harry Gray
Brieuc Lehmann
Martina McMenamin
Claire Simons
Magdalena Strauss
Fan Wang


Wendelin Werner, ETH

Visiting Students

Guillaume Blanc

Administrative Staff

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

Dr Eva Myers[Personal Home Page] Computer Officer