Compass Conference 2022

Our first Compass Conference was held on Tuesday 13th September 2022, hosted in the newly refurbished Fry Building, home to the School of Mathematics.

Fry Building
The Fry Building and Voronoi installation

The conference was a celebratory showcase of the achievements of our students, supervisory teams, and collaborations with industrial partners. Attendees were invited from a diverse range of organisations outside of academia as well as academic colleagues from across the University of Bristol.

Programme

Lightning talks: 3 min presentations from Compass PhD students

  • Mauro Camara Escudero: Approximate Manifold Sampling
  • Doug Corbin: Partitioned Polynomial Thompson Sampling for Contextual Multi-Armed Bandits.
  • Dom Owens: FNETS: An R Package for Network Analysis and Forecasting of High-Dimensional Time Series with Factor-Adjusted Vector Autoregressive Models
  • Jake Spiteri: A non-parametric method for state-space models
  • Daniel Williams: Kernelised Stein Discrepancies for Truncated Probability Density Estimation
  • Conor Crilly: Efficient Emulation of a Radionuclide Transport Model
  • Annie Gray: Discovering latent topology and geometry in data: a law of large dimension
  • Conor Newton: Mutli-Agent Multi-Armed Bandits
  • Jack Simons: Variational Likelihood-Free Gradient Descent
  • Anthony Stephenson: Provably Reliable Large-Scale Sampling from Gaussian Processes
  • Dan Ward: Robust Neural Posterior Estimation
  • Shannon Williams: Sampling Schemes for Volcanic Ash Dispersion Hazard Assessment
  • Dominic Broadbent: Bayesian Coresets Versus the Laplace Approximation
  • Emerald Dilworth: Using Web Data and Network Embedding to Detect Spatial Relationships
  • Ettore Fincato: Markov state modelling and Gibbs sampling
  • Josh Givens: DRE and NP Classification with Missing Data
  • Ben Griffiths: Faster Model Fitting for Quantile Additive Models
  • Tennessee Hickling: Flexible Tails for Normalising Flows
  • Daniel Milner: When Does Market Access Improve Smallholder Nutrition? A Multilevel Analysis
  • Edward Milsom: Deep Kernel Machines

Research talks

  • Ed DavisUniversal Dynamic Network Embedding – How to Comprehend Changes in 20,000 Dimensions
  • Ettore FincatoSpectral analysis of the Gibbs sampler with the concept of conductance
  • Alexander Modell – Network community detection under degree heterogeneity: spectral clustering with the random walk Laplacian
  • Hannah SansfordImplications of sparsity and high triangle density for graph representation learning
  • Michael WhitehouseConsistent and fast inference in compartmental models of epidemics via Poisson Approximate Likelihoods
  • Alessio ZakariaYour Favourite Optimizer may not Converge: Click here to see more

Special guest lecture

John Burn-Murdoch, Chief Data Reporter at the Financial Times.

Making charts that make an impact: An exploration of what makes data visualisation effective as a means of communication, drawing on the latest scientific research, plus John’s experiences from visualising the pandemic.

Attendees

Attendees included academics associated with Compass from across the University of Bristol. Our external attendees were invited from the following partner organisations.

Adarga
Advai
Alan Turing Institute
Allianz Personal
AWE
British Telecom
CheckRisk LLP
COVID-19 Actuaries Response Group
Financial Times
GSK
Improbable
Infinitesima
International Livestock Research Institute
LV= General Insurance
Met Office
NVIDIA
TGE Data Science
Trilateral Research
UK Health Security Agency

Compass student publishes article in Frontiers

Compass student Dan Milner and his academic supervisors have published an article in Frontiers, one of the most cited and largest research publishers in the world. Dan’s work is funded in collaboration with ILRI (International Livestock Research Institute).

Market access and dietary diversity: A spatially explicit multi-level analysis in Southern and Western Kenya.

Access to Data Science Event: start your PhD journey with Compass

Want to find out what a modern PhD in Statistics and Data Science is like?

 

Application deadline: open for applications until Wednesday, 10 August 2022, 23:59. Early applications advised.  

APPLY NOW

The EPSRC Centre for Doctoral Training in Computational Statistics and Data Science (Compass) offers a PhD training programme in the statistical and computational techniques of data science.  As part of our recruitment for 2023/24 academic year we are holding an open event to introduce potential applicants to the CDT.

Access to Data Science will run on Monday 12 September 2022 and will provide an immersive experience for prospective PhD students. This fully-funded event will be hosted by Compass academic staff and PhD students in the Fry Building, home to the School of Mathematics. The date of this event will enable participants to also attend the Compass Annual Conference held in the School of Mathematics on Tuesday 13 September 2022.

As part of the Access to Data Science event, you’ll be invited to:

  • learn about the Compass CDT programme
  • discover the details of PhD projects on offer for 2023/24
  • take part in a hands on data workshop
  • have exclusive access to an application writing workshop
  • interact with the current Compass students and find out more about their experience with the programme
  • attend the Compass Annual Conference to hear first hand from our students about their research projects

The purpose of this event is to increase all aspects of diversity amongst Data Science researchers. We particularly encourage applications from women and members of the LGBTQ+ and black, Asian and minority ethnic communities, to join us.  

We welcome participants from a range of numerate academic backgrounds, with undergraduate degrees in subjects such as computer science, economics, epidemiology, mathematics, statistics and physics. 

Application deadline: open for applications until Wednesday, 10 August 2022, 23:59. Early applications advised.  

APPLY NOW

Application process 

We welcome applications from across the UK. 

Access to Data Science participants will be offered hotel accommodation, reimbursement of travel costs within the UK, and meals for each day of the event. 

Your Access to Data Science application should include a CV and a short personal statement (no more than 500 words) explaining:

  • your motivation for applying to Access to Data Science and how it relates to your future plans
  • why you should be offered a place on the programme, highlighting elements of your academic record which align with the theme of the programme, such as project work or courses you have taken
  • any other relevant skills or experience

We expect applicants to be on track to meet the entry requirements for the Compass PhD programme. If you have any questions about this event and whether it’s right for you, please contact compass-cdt@bristol.ac.uk.

Application deadline: open for applications until Wednesday, 10 August 2022, 23:59. Early applications advised.  

APPLY NOW

Video: The Data Science behind COVID Modelling

We are excited to share Dr Daniel Lawson’s (Compass CDT Co-Director) latest video where he will tell you about the Data Science behind Bristol’s COVID Modelling.

Mathematics has had a hidden role in predicting how we can best fight COVID-19. How is mathematics used with data science and machine learning? Why is modelling epidemics such a hard problem? How can we do it better next time? What will data science be able to do in the future, and how do you become a part of it?

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