Our students

Compass students are passionate about their research interests and the impact they can make in the world through their work.

Take a look at our student-penned blog series Student perspectives to learn more about our students’ research and experiences on the Compass programme.

 

Cohort 1 (2019/20 start)

 

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	Alessio Zakaria Project title: Online Methods for Complex Stochastic Optimization Problems Supervisors: Vladislav Tadic, Christophe Andrieu
	Alexander Modell Project title: Statistical analysis of large graphs Supervisors: Patrick Rubin-Delanchy
	Daniel Williams Project title: Estimating Probabilistic Models on Curved Surfaces using Score Matching  Supervisors: Song Liu
	Dominic Owens Project title: Network analysis of high-dimensional financial data with non-linear and time-evolving dependence Supervisors: Haeran Cho and CheckRisk
	Doug Corbin Project title: Non-parametric supervised learning. In particular, Doug’s work focusses on the application of nonparametric methods to sequential decision making problems. Supervisors: Anthony Lee, Mathieu Gerber
	Jake Spiteri Project title: Kernel methods for non-parametric supervised learning Supervisors: Anthony Lee, Mathieu Gerber
	Mauro Camara Escudero Project title: Using Variational approaches to perform computationally efficient ‘divide and conquer’ Monte Carlo inference on demographic models. Supervisors: Christophe Andrieu, Mark Beaumont (School of Biological Sciences).
	Michael Whitehouse Project title: Dynamics and Uncertainty in Financial Factor Models Supervisors: Nick Whiteley

 

Cohort 2 (2020/21 start)

 

 

	Annie Gray Project title: Exploratory data analysis of graph embeddings: exploiting manifold structure Supervisors: Patrick Rubin-Delanchy and Nick Whiteley
	Anthony Stephenson Project title: Fast Bayesian Inference at Extreme Scale Supervisors: Robert Allison and IBM
	Conor Crilly Project title: Uncertainty Quantification for Computer Experiments Supervisors: Oliver Johnson and AWE
	Conor Newton Project title: Decentralised sequential decision making and learning Supervisors: Henry Reeve, Ayalvadi Ganesh
	Dan Ward Project title: Simulation-Based Inference for Agent-Based Models Supervisors: Matteo Fasiolo, Mark Beaumont (School of Biological Sciences)
	Ed Davis Project title: Graph embedding: time and space Supervisors: Dan Lawson, Patrick Rubin-Delanchy
	Euan Enticott Project title: Scalable Additive Models for Forecasting Electricity Demand and Renewable Production Supervisors: Matteo Fasiolo, Nick Whiteley, and EDF
	Jack Simons Project title: Approximate Bayesian Inference by Density Ratio Estimation Supervisors: Song Liu, Mark Beaumont (School of Biological Sciences)
	Sam Stockman Project title: Machine Learning and Point Processes for Insights into Earthquakes and Volcanoes Supervisors: Maximillian Werner (School of Earth Sciences), Dan Lawson
	Shannon Williams Project title: The statistical design of assessments of impacts from explosive volcanic eruptions Supervisors: Jeremy Phillips (School of Earth Sciences), Anthony Lee

Cohort 3 (2021/22 start)

 

	Ben Griffiths Project title: Developing scalable fitting methods for quantile and loss-based GAMs Supervisors: Matteo Fasiolo and EDF
	Daniel Milner Project title: A spatially explicit assessment of agro-pastoral sustainability in Kenya and Ethiopia  Supervisors: Andrew Dowsey, Levi Wolf, Kate Robson Brown, and ILRI
	Dominic Broadbent Project title: Data reduction and large-scale inference  Supervisors: Nick Whiteley, Robert Allison, and NCSC
	Edward Milsom Project title: Classification for deep kernel machines Supervisors: Laurence Aitchison
	Emerald Dilworth Project title: Using web data to detect spatial relationships Supervisors: Emmanouil Tranos, Dan Lawson
	Ettore Fincato Project title: Functional Analysis of the Gibbs Sampler Supervisors: Christophe Andrieu, Mathieu Gerber
	Hannah Sansford Project title: Graph simulation Supervisors: Nick Whitely, Patrick Rubin-Delanchy
	Harry Tata Project title: Novel semi-supervised Bayesian learning to rapidly screen new oligonucleotide drugs for impurities Supervisors: Andrew Dowsey and AstraZeneca
	Josh Givens Project title: (Differential) Model Inference with Imperfect Information  Supervisors: Song Liu, Henry Reeve
	Tennessee Hickling Project title: Flexible tails for normalising flows Supervisors: Dennis Prangle