2022 Conference

The 2022 conference took place on 23rd-24th May at the Mathematical Institute at the University of Oxford. The responses to our post-conference survey are here.

Posters #

Those posters presented across the two days were as follows:

• Ozgur Akman (Exeter), Digital clocks – Boolean models of circadian systems

  

• Yehya Althobaity (Exeter), Modelling the impact of NPIs on the spread of COVID-19 in Saudi Arabia

  

• David Augustin (Oxford), Population filter inference: A novel nonlinear mixed effects inference approach for snapshot time series data

  

• Evan Baker (Exeter), Mapping the differences between pancreatic Beta cell models

  

• Liam Brown (Oxford), Physiologically based pharmacokinetic models may be inherently, practically unidentifiable

  

• Pavan Chaggar (Oxford), Network Dynamical Systems and Inference for Models of Alzheimer’s Disease

  

• Alice Corbella (Warwick), Inferring epidemics from multiple dependent data via pseudo-marginal methods

  

• Dominic Dunstan (Exeter), Modelling sleep EEG in children with epilepsy

  

• Joel Dyer (Oxford), Amortised Likelihood-free Inference for Expensive Time-series Simulators with Signatured Ratio Estimation

  

• Jonathan Harrison (Warwick), Where history matters: inference for a tension clock model of chromosome oscillation dynamics

  

• Xiaoran Lai (Oslo), Likelihood-free inference for hybrid cellular automaton models for personalized simulation of breast cancer treatment

  

• Yue Liu (Oxford), Parameter identifiability for PDE models of cell invasion

  

• Hossein Mohammadi (Exeter), Emulating complex dynamical simulators with random Fourier features

  

• Joseph Shuttleworth (Nottingham), Quantiying Discrepancy Between Electrophysiology Models and Data

  

• Ben Swallow (Glasgow), Fast Bayesian inference for stochastic oscillatory systems using the phasecorrected Linear Noise Approximation

  

• Massimiliano Tamborrino (Warwick), Structure-preserving Approximate Bayesian Computation for complex stochastic models

  

Day 1 talks #

• Ben Lambert (Exeter), Welcome

• Ruth Baker (Oxford), Efficient Bayesian inference for mechanistic modelling with high-throughput data

• Tom Thorne (Surrey), Parameter inference with topological approximate bayesian computation

• Marina Riabiz (KCL), Kernel Stein discrepancy minimization for MCMC thinning in cardiac electrophysiology

• Peter Challenor (Exeter), History Matching - an alternative way of inference for biological systems

• Richard Creswell (Oxford), Improved Bayesian inference for ODEs using adjoint methods for gradient-based sampling and adaptive step size selection

• George Deligiannidis (Oxford), Some results on MCMC algorithms for intractable likelihoods

• Solveig van der Vegt (Oxford), Practical parameter identifiability applied to a model of autoimmune myocarditis

Day 2 talks #

• Heikki Haario (Lappeenranta University of Technology), Statistical calibration of pattern formation models

• Aden Forrow (Oxford), Measuring the accuracy of likelihood-free inference

• Jere Koskela (Warwick), Nonreversible MCMC for latent phylogenetic trees

• Kris Parag (Bristol), Quantifying the relative information in noisy epidemic time series

• Michael Clerx (Nottingham), Four ways to fit an ion channel model

• Rémi Bardenet (Ecole Centrale de Lille), Monte Carlo methods based on repulsive point processes for generic expensive models

• Alejandra D Herrera Reyes (Nottingham), Uncertainty and error in SARS-CoV-2 epidemiological parameters inferred from population-level epidemic models

Discussion session #

How best to share information about inference methods

Prize giving #

The prize for the best ECR poster was voted for by those giving oral presentations; the prize for the best ECR talk was voted for by those giving poster presentations.

• Best ECR poster: Joel Dyer (Oxford), Amortised Likelihood-free Inference for Expensive Time-series Simulators with Signatured Ratio Estimation
• Best ECR talk: Solveig van der Vegt (Oxford), Practical parameter identifiability applied to a model of autoimmune myocarditis

Organisers for 2022 conference #

• David Augustin (Oxford)
• Ioana Bouros (Oxford)
• Helen Byrne (Oxford)
• Fergus Cooper (Oxford)
• Richard Creswell (Oxford)
• Hui Jia Farm (Oxford)
• David Gavaghan (Oxford)
• Ben Lambert (Exeter)
• Chon Lok Lei (Macau)
• Philip Maini (Oxford)

Sponsors #

The conference was generously sponsored by:

• The London Mathematical Society
• The Heilbronn Institute for Mathematical Research
• The Department of Computer Science, University of Oxford