## Faculty

##### Beate Ehrhardt

###### hypothesis testing bayesian statistics machine learning networks optimal experimental design causality

##### Clarice Poon

###### compressed sensing structured regularisation super resolution optimisation

##### Eike Mueller

###### scientific computing massively parallel solvers for pdes (multilevel) monte carlo methods multigrid algorithms

##### Evangelos Evangelou

###### linear models geostatistics time series

##### James Hook

###### numerical linear algebra applications of artificial intelligence autonomous investigators chemical engineering

##### Jonathan Bartlett

###### missing data measurement error causal inference

##### Kari Heine

###### sequential monte carlo parallelism high-dimensional problems mcmc population genetics

##### Karim Anaya-Izquierdo

###### statistical engineering geometrical mcmc distribution theory using geometry statistical epidemiology

##### Matt Nunes

###### bayesian computation dimension reduction image processing networks time series wavelets

##### Matthias Ehrhardt

###### imaging machine learning optimisation

##### Melina Freitag

###### numerical linear algebra inverse problems data assimilation model order reduction iterative methods for eigenvalue problems krylov methods and preconditioners

##### Mohammad Golbabaee

###### signal and image processing low-complexity models compressed sensing computational medical imaging large-scale machine learning

##### Neill Campbell

###### visual computing unsupervised learning bayesian non-parametrics uncertainty quantification

##### Sandipan Roy

###### high-dimensional inference graphical models machine learning non-parametric regression subsampling parallel optimization

##### Sergey Dolgov

###### linear and multilinear algebra tensor-product decompositions

##### Silvia Gazzola

###### regularization of inverse problems imaging problems numerical linear algebra

##### Theresa Smith

###### spatial statistics bayesian computing health applications

##### Tiago de Paula Peixoto

###### network science bayesian inference statistical physics

##### Tom Fincham Haines

###### bayesian non-parametrics graphical models active learning directional statistics density estimation

##### Tony Shardlow

###### stochastic differential equations numerical analysis bayesian inverse problems

##### Xi Chen

###### bayesian inference & reasoning machine learning statistical signal processing monte carlo methods probabilistic sampling techniques

##### Özgür Şimşek

###### reinforcement learning regularisation learning from small samples

## Researchers

##### Adam Hartshorne

Working with Neill Campbell

##### Adwaye Rambojun

Working with Neill Campbell and Tony Shardlow

##### Alessandro Di Martino

Working with Neill Campbell

##### Allen Hart

Working with James Hook

##### Amelie Klein

Working with Kari Heine

##### Andreas Theophilou

Working with Özgür Şimşek

##### Andrew Lawrence

Working with Neill Campbell

##### Arron Gosnell

Working with Evangelos Evangelou

##### Connr Gascoigne

Working with Theresa Smith

##### Dan Burrows

Working with Kari Heine

##### Dan Green

Working with Melina Freitag

##### David Fernandes

Working with Neill Campbell

##### Ed Wong

Working with Tom Fincham Haines

##### Eleanor Barry

Working with Jonathan Bartlett

##### Elizabeth Gray

Working with Evangelos Evangelou

##### Emelie Barman

Working with Neill Campbell

##### Eric Baruch Gutiérrez Castillo

Working with Matthias Ehrhardt

##### Federico Cornalba

Working with Tony Shardlow and J. Zimmer

##### James Evans

Working with Karim Anaya-Izquierdo

##### Jan Malte Lichtenberg

Working with Özgür Şimşek

##### Jenny Delos Reyes

Working with Tony Shardlow and J. White

##### Joshua Evans

Working with Özgür Şimşek

##### Lizhi Zhang

Working with Tiago de Paula Peixoto

##### Malena Sabate Landman

Working with Silvia Gazzola

##### Margaret Duff

Working with Neill Campbell and Matthias Ehrhardt

##### Matthew Hosier

Working with Tom Fincham Haines

##### Michele Firmo

Working with Tony Shardlow

##### Nadeen Khaleel

Working with Theresa Smith

##### Paul Russell

Working with Özgür Şimşek

##### Paul Secular

Working with Sergey Dolgov

##### Sebastian Morel-Balbi

Working with Tiago de Paula Peixoto

##### Sebastian Stolze

Working with Evangelos Evangelou

##### Teo Deveney

Working with Tony Shardlow

##### Tom Pennington

Working with R. Scheichl and K. Anaya-Izquierdo