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 ZakariaProject title: Online Methods for Complex Stochastic Optimization Problems Supervisors: Vladislav Tadic, Christophe Andrieu |
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Alexander ModellProject title: Statistical analysis of large graphs Supervisors: Patrick Rubin-Delanchy |
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Daniel WilliamsProject title: Estimating Probabilistic Models on Curved Surfaces using Score Matching Supervisors: Song Liu |
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Dominic OwensProject title: Network analysis of high-dimensional financial data with non-linear and time-evolving dependence Supervisors: Haeran Cho and CheckRisk |
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Doug CorbinProject 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 |
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Jake SpiteriProject title: Kernel methods for non-parametric supervised learning Supervisors: Anthony Lee, Mathieu Gerber |
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Mauro Camara EscuderoProject 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). |
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Michael WhitehouseProject title: Dynamics and Uncertainty in Financial Factor Models Supervisors: Nick Whiteley |
Cohort 2 (2020/21 start)
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Annie GrayProject title: Exploratory data analysis of graph embeddings: exploiting manifold structure Supervisors: Patrick Rubin-Delanchy and Nick Whiteley |
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Anthony StephensonProject title: Fast Bayesian Inference at Extreme Scale Supervisors: Robert Allison and IBM |
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Conor CrillyProject title: Uncertainty Quantification for Computer Experiments Supervisors: Oliver Johnson and AWE |
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Conor NewtonProject title: Decentralised sequential decision making and learning Supervisors: Henry Reeve, Ayalvadi Ganesh |
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Dan WardProject title: Simulation-Based Inference for Agent-Based Models Supervisors: Matteo Fasiolo, Mark Beaumont (School of Biological Sciences) |
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Ed DavisProject title: Graph embedding: time and space Supervisors: Dan Lawson, Patrick Rubin-Delanchy |
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Euan EnticottProject title: Scalable Additive Models for Forecasting Electricity Demand and Renewable Production Supervisors: Matteo Fasiolo, Nick Whiteley, and EDF |
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Jack SimonsProject title: Approximate Bayesian Inference by Density Ratio Estimation Supervisors: Song Liu, Mark Beaumont (School of Biological Sciences) |
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Sam StockmanProject title: Machine Learning and Point Processes for Insights into Earthquakes and Volcanoes Supervisors: Maximillian Werner (School of Earth Sciences), Dan Lawson |
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Shannon WilliamsProject 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)
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Ben GriffithsProject title: Developing scalable fitting methods for quantile and loss-based GAMs Supervisors: Matteo Fasiolo and EDF |
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Daniel MilnerProject title: A spatially explicit assessment of agro-pastoral sustainability in Kenya and Ethiopia Supervisors: Andrew Dowsey, Levi Wolf, Kate Robson Brown, and ILRI |
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Dominic BroadbentProject title: Data reduction and large-scale inference Supervisors: Nick Whiteley, Robert Allison, and NCSC |
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Edward MilsomProject title: Classification for deep kernel machines Supervisors: Laurence Aitchison |
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Emerald DilworthProject title: Using web data to detect spatial relationships Supervisors: Emmanouil Tranos, Dan Lawson |
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Ettore FincatoProject title: Functional Analysis of the Gibbs Sampler Supervisors: Christophe Andrieu, Mathieu Gerber |
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Hannah SansfordProject title: Graph simulation Supervisors: Nick Whitely, Patrick Rubin-Delanchy |
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Harry TataProject title: Novel semi-supervised Bayesian learning to rapidly screen new oligonucleotide drugs for impurities Supervisors: Andrew Dowsey and AstraZeneca |
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Josh GivensProject title: (Differential) Model Inference with Imperfect Information Supervisors: Song Liu, Henry Reeve |
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Tennessee HicklingProject title: Flexible tails for normalising flows Supervisors: Dennis Prangle |