2023 Conference

In 2022, we organised the inaugural Bioinference conference, with a primary goal to bring together researchers from all career stages across statistics and mathematical modelling who work with biological systems to foster discussions between the two communities and to prompt collaborations: the talks are available via our public YouTube channel.

The feedback we received from the participants was overwhelmingly positive: all those who gave feedback scored us 8/10 and above when asked whether they would recommend the conference to others.

On 8th-9th June 2023, we are holding the 2nd Bioinference conference at the Pitt Rivers Museum at the University of Oxford. In doing so, we hope to build a community of mathematical biologists and statisticians, facilitating dialogue and collaborations between these two groups across career stages. You can sign up for the in-person event here and for the online event here.

This year’s conference is organised by: Ioana Bouros (Oxford); Fergus Cooper (Oxford); Richard Creswell (Oxford); Aden Forrow (Maine); David Gavaghan (Oxford); Ben Lambert (Exeter); Chon Lok Lei (Macau); Massimiliano Tamborrino (Warwick); Tom Thorne (Surrey).

The conference is generously sponsored by:



Thursday 8th June

TimeEvent / speakerTalk title
10:00-10:30Darren Wilkinson, DurhamStatistical emulation for individual-based models of microbial community dynamics
10:30-11:00Sandor Beregi, Imperial College LondonCan we control an epidemic in real-time with noisy data?
11:00-11:30Coffee and posters
11:30-12:00Joseph Shuttleworth, NottinghamTraining models with an ensemble of experimental designs to account for model discrepancy: quantifying uncertainty for predictive models of ion channel currents
12:00-12:30Jonas Arruda, BonnAn amortized approach to non-linear mixed-effects modeling based on neural density posterior estimation
12:30-13:00Marina Evangelou, Imperial College LondonUnsupervised Learning approaches for Multi-OMICS data
14:00-14:30Thijs van der Plas, OxfordNeural assemblies uncovered by generative modeling explain whole-brain activity statistics and reflect structural connectivity
14:30-15:00Robin Thompson, WarwickInference of pathogen transmissibility during infectious disease outbreaks
15:00-15:30Ruihua Zhang, OxfordSimulating weak attacks in a new duplication-divergence model with gene loss
15:30-16:00Coffee and posters
16:00-16:30Coffee and posters
16:30-17:00Coffee and posters
17:15-18:30Drinks @ The Harcourt Arms (next to Rickety Press)
18:30 onwardsConference dinner @ Rickety Press

Friday 9th June

TimeFriday 9th JuneTalk title
09:30-10:00Richard Everitt, WarwickRare event ABC-SMC^2
10:00-10:30Elena Sabbioni, TurinA Bayesian approach for estimating RNA velocity
10:30-11:00Juliette Unwin, Imperial College LondonTBC
11:00-11:30Coffee and posters
11:30-12:00Constandina Koki, WarwickBayesian computational analysis of cell division dynamics
12:00-12:30Andrew Glover, Imperial College LondonParametrically Smoothened Likelihood Inference (PARSLI)
12:30-13:00Jaromir Sant, OxfordInferring natural selection and allele age from allele frequency time series data via exact simulation
14:00-14:30Coffee and posters
14:30-15:00Coffee and posters
15:00-15:30Richard Creswell, OxfordA Bayesian nonparametric method for detecting rapid changes in disease transmission
15:30-16:00Ritabrata Dutta, WarwickInference of selection coefficients in multivariate Wright-Fisher: Generalized Bayesian Inference with Signature Kernel Score
16:00-16:30Best ECR talk and poster prize presentation
16:30-17:00Summing up and conference end

Poster presentations

  • Enrico Bibbona, Politecnico di Torino, “Estimating the ratio between the contagiousness of two viral strains”
  • Julia Brettschneider, University of Warwick, “Microscopic images and infections counts from a point process perspective”
  • Austin Brown, University of Warwick, “Geometric ergodicity of Gibbs samplers for Bayesian error-in-variable regression”
  • Alexander Browning, University of Oxford, “Modelling heterogenity with random parameters”
  • Raiha Browning, University of Warwick, “AMISforInfectiousDiseases: an R package to fit a transmission model to a prevalence map”
  • Viktoria Brunner, University of Oxford, “Large-scale Identification of Compensatory Mutations in the RNA Polymerase of Mycobacterium tuberculosis”
  • Alice Corbella, University of Warwick, “Inference of the case fatality risk at the beginning of an epidemic: a state-space model perspective and a robust particle filter”
  • Molly Cui, Kings College London, “Bayesian modelling and sequential learning of latent epidemic dynamics”
  • Lloyd Chapman, Lancaster University, “Bayesian inference for spatiotemporal individual-level epidemic models”
  • Alicia Gill, University of Warwick, “Bayesian inference of reproduction number from genomic and epidemic data using particle MCMC”
  • Adam Howes, Imperial College London, “Fast approximate Bayesian inference for small-area estimation of HIV indicators using the Naomi model”
  • Owen Jones, Cardiff University, “Estimating the virulence of managed parasite populations”
  • Arnau Quera-Bofarull, University of Oxford, “Bayesian calibration of differentiable simulators”
  • Lutecia Servius, King’s College London, “Comparing classification methods and their generalisability on antibody repertoire”
  • Maria Veretennikova, University of Oxford, “Circadian clock analysis for precision medicine”
  • Hiu Ching Yip, Politecnico di Torino, “Modelling lemurs’ calls with nearest neighbour Gaussian process”
  • Reza Taheri, University of Turin, “Using Generalized Lagrange Chebyshev collocation method in order to solve the shortest path problems”