About
The purpose of this meeting is to bring together mathematical biologists and statisticians to share ideas about best practices for inference across a range of application areas in mathematical biology.
Crucially, it will facilitate a dialogue between these two communities which speak largely different mathematical languages. The conference will focus on inference for computationally “expensive” systems in mathematical biology, such as systems of coupled, highly nonlinear ordinary and partial differential equations.
Key outcomes of the conference will be to identify those application areas most in need of new inference methods and to expose mathematical biologists to recently developed statistical approaches.
Venue
The conference will be held in the Mathematical Institute at the University of Oxford (map).
Schedule
Monday
| Time | Slot | Title |
|---|---|---|
| 08:30-09:30 | Registration / breakfast | - |
| 09:30-10:00 | Introduction by conference organisers | - |
| 10:00-10:30 | Ruth Baker University of Oxford |
Efficient Bayesian inference for mechanistic modelling with high-throughput data |
| 10:30-11:00 | Tom Thorne University of Surrey |
Parameter inference with topological approximate bayesian computation |
| 11:00-11:30 | Coffee break | - |
| 11:30-12:00 | Marina Riabiz King's College London |
Kernel Stein discrepancy minimization for MCMC thinning in cardiac electrophysiology |
| 12:00-12:30 | Peter Challenor University of Exeter |
History Matching - an alternative way of inference for biological systems |
| 12:30-13:00 | Richard Creswell University of Oxford |
Improved Bayesian inference for ODEs using adjoint methods for gradient-based sampling and adaptive step size selection |
| 13:00-14:00 | Lunch | - |
| 14:00-15:30 | Poster session | - |
| 15:30-15:45 | Coffee break | - |
| 15:45-16:15 | George Deligiannidis University of Oxford |
Some results on MCMC algorithms for intractable likelihoods |
| 16:15-16:45 | Solveig van der Vegt University of Oxford |
Practical parameter identifiability applied to a model of autoimmune myocarditis |
| 16:45-17:15 | Alexander Zarebski University of Oxford |
Estimating transmission and prevalence from sequence, occurrence, (and possibly serological) data |
| 18:00-22:00 | Conference dinner |
New College bar, from 18:00, dinner at 19:15 (optional; ticket required) |
Tuesday
| Time | Slot | Title |
|---|---|---|
| 08:00-09:00 | Breakfast | - |
| 09:00-09:30 | Heikki Haario Lappeenranta University of Technology |
Statistical calibration of pattern formation models |
| 09:30-10:00 | Aden Forrow University of Oxford |
Measuring the accuracy of likelihood-free inference |
| 10:00-10:30 | Coffee break | - |
| 10:30-11:00 | Jere Koskela University of Warwick |
Nonreversible MCMC for latent phylogenetic trees |
| 11:00-11:30 | Kris Parag University of Bristol |
Quantifying the relative information in noisy epidemic time series |
| 11:30-12:00 | Michael Clerx University of Nottingham |
Four ways to fit an ion channel model |
| 12:00-12:30 | Group photo | - |
| 12:30-13:30 | Lunch | - |
| 13:30-14:00 | Rémi Bardenet Ecole Centrale de Lille |
Monte Carlo methods based on repulsive point processes for generic expensive models |
| 14:00-14:30 | Alejandra D Herrera Reyes University of Nottingham |
Uncertainty and error in SARS-CoV-2 epidemiological parameters inferred from population-level epidemic models |
| 14:30-15:30 | Coffee break and poster session | - |
| 15:30-16:30 | Discussion session |
How best to share knowledge about inference methods |
| 16:30-16:45 | Closing remarks | - |