Student perspectives: Compass Conference 2022

A post by Dominic Broadbent and Dom Owens, PhD students on the Compass CDT, and Compass conference co-organisers.


September saw the first annual Compass Conference, hosted in the newly refurbished Fry Building, home to the School of Mathematics. The conference was a fantastic opportunity for PhD students across Compass to showcase their research, meet with industrial partners and to celebrate their achievements. The event also welcomed the new cohort of PhD students, as well as prospective PhD students taking part in the Access to Data Science programme.

Compass students mingle with other attendees

Lightning talks and poster session

The day started with a series of 3-minute fast-paced lightning talks, where students pitched their research to attendees to come and visit them at the following poster session. More than 20 posters were on display, capturing the wide range of topics Compass students currently work on. The session gave everyone a chance to dive into the finer details and see results visualised in impressive and inventive ways. For academic and industry attendees, this also served as a forum to propose potential applications and collaborations.

The lightning talks were a great exercise in boiling down your work into just the essentials, knowing you only have a short time to try attract the audience’s attention and interest. While the poster session provided an opportunity to follow up on that interest with details and results, as well as the chance to to see what exactly everyone else in the office is working on!

Conference attendees at the poster session

Research talks

After lunch, we saw 6 in-depth talks from students on late-stage or published research ideas, starting with Ettore Fincato’s work “Spectral analysis of the Gibbs sampler with the concept of conductance” and ending with Ed Davis’ “Universal Dynamic Network Embedding – How to Comprehend Changes in 20,000 Dimensions”. Our speakers took advantage of the longer format to give detailed, motivated presentations, concentrating on the most interesting mathematical details while still making sure their talks were accessible for everyone in the audience. Having a chaired discussion after each talk allowed for audience participation and gave more focus to the most interesting and challenging details. The format is intended to be similar to the talks students give at external conferences, giving the speakers a chance to perfect their technique in front of friendly faces.

Michael Whitehouse gives his research talk to conference attendees

Special guest lecture

To cap off a successful event, the attendees moved to the great hall of the Wills Memorial Building which opened its doors to the public for a special guest lecture from John Burn-Murdoch, the Chief Data Officer at the Financial Times. John is a pioneering data journalist whose work came to particular prominence when he led the FT’s coverage of the Covid-19 pandemic. He also writes a weekly column, Data Points, where he leverages the power of data visualisation done well to inform his readers on topics such as economics, sport and health.

The lecture, titled Making charts that make an impact, was an exploration of what makes data visualisation effective as a means of communication, drawing on the latest scientific research and his experience of visualising the pandemic. It provided an excellent opportunity to learn how we can carefully present data to have the largest impact, and get across the ideas we want. Certainly, it sparked a discussion into the nature of data visualisation in mathematical research, what we can learn from the latest advances in data journalism, and when it may and may not be appropriate to tell a story.

John Burn-Murdoch gives his special guest lecture

Thoughts from students

We surveyed the Compass students afterwards looking for feedback on their experiences. Here are a select few comments:

“Giving a talk on my work in an encouraging environment, with support from my friends and advisers, as well as a wide range of attendees with diverse technical knowledge, was an invaluable experience for me.”

“It’s really useful to learn how to communicate your research to people in industry. They tend to be less concerned with detail, and more concerned with the big idea, and how it can be used in practice. I’m looking forward to continuing some of the conversations I started while at the conference and seeing where they lead.”

“I had a very rewarding time at the Compass conference, the great mix of people, ideas, and catering made it so fun and interesting. Really looking forward to next year’s!”

“I found John’s talk fascinating, it was very interesting to peek behind the curtain and gain insight into the way a data journalist makes decisions on how to present data most effectively, from the minutiae to the big picture.”


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.


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

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

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.  


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.  


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

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


Skip to toolbar