Our students – Compass Blog

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. Also see our Alumni page for details of their final theses and career destinations.

Cohort 1 (2019/20 start)

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

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
	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
	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
	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 Supervisor: Laurence Aitchison
	Emerald Dilworth Project title: Using web data to detect spatial relationships Supervisors: Emmanouil Tranos, Dan Lawson
	Ettore Fincato Project title: Gradient-free stochastic optimization 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 Supervisor: Dennis Prangle

	Ben Anson Project title: Graph deep kernel machines Supervisor: Laurence Aitchison (Department of Computer Science)
	Codie Wood Project title: Misclassification in binary and categorical variables: development of methods and software for epidemiology Supervisors: Kate Tilling & Rachael Hughes from Bristol Medical School (Population Health Science), Jonathan Bartlett (London School Hygiene Tropical Medicine)
	Dylan Dijk Project title: Robust estimation and inference for high-dimensional time series Supervisor: Haeran Cho
	Emma Ceccherini Project title: Covariate Information for Dynamic Network Embedding Supervisors: Ian Gallagher, Dan Lawson
	Emma Tarmey Project title: Variable selection in causal inference: development of methods and software for epidemiology Supervisors: Kate Tilling & Jonathan Sterne from Bristol Medical School (Population Health Science), Rhian Daniel (Cardiff University)
	Henry Bourne Project title: Investigating the Effect of Latent Representations on Continual Learning Performance Supervisor: Rihuan Ke
	Qi Chen Project title: Methodology for inferring directed graphs representing generative processes Supervisor: Dan Lawson
	Rachel Wood Project title: Comparing qualitatively different data at scale Supervisor: Dan Lawson
	Rahil Morjaria Project title: New Directions in Group Testing Supervisor: Sid Jaggi
	Sam Bowyer Project title: Fast and correct Bayesian inference with massively parallel methods Supervisor: Laurence Aitchison (Department of Computer Science)
	Samuel Perren Project title: Validity of population adjustment methods for disconnected networks of evidence Supervisors: Nicky Welton, David Phillippo & Hugo Pedder from Bristol Medical School (Population Health Science)
	Xinrui Shi Project title: Network Meta-Analysis Supervisor: Ayalvadi Ganesh, Annabel Davies

Cohort 1 (2019/20 start)​

Cohort 2 (2020/21 start)

Cohort 3 (2021/22 start)

Cohort 1 (2019/20 start)