2025 Conference

The fourth BioInference conference will take place in Bardonecchia, a town in the Alps near Turin, in the Piedmont region of Italy on 28th-30th May 2025. Differently from previous editions, this year’s conference is going to be a residential 3-days event that will include more talks and networking opportunities compared to previous years. All talks will be in person, with no parallel sessions. A hike activity will take place on the second day!

Bardonecchia is in the Alps, with an elevation of 1,312m. The weather towards the end of May should be pleasant, with average temperatures 12-25°C. Practical information for travelling to/from Bardonecchia can be found here.

All conference participants will be hosted at Hotel Rivè.

Conference Information #

The conference will consist of invited and contributed talks and a poster session with more than 30 poster presentations. The conference will be held at Palazzo delle Feste (Piazza Valle Stretta, 1, 10052 Bardonecchia TO).

Below you can find the timetable for the three days of the conference.

Click here to access the full schedule of the conference alongside talk abstracts and useful information.

Networking activity / Hiking #

On Thursday afternoon, after the talks, a hiking activity in the Bardonecchia area will take place. This is an informal networking event. Packed lunch will be provided for the hiking activity. More details will be announced during the conference.

Suitable hiking clothes (e.g. a fleece jacket/jumper) and hiking shoes are recommended. Alternative routes based on difficulty/length will be proposed, and individuals will be able to choose between them. Please do note that there may be the possibility of encountering snow on some of the paths at higher altitudes, so keep that in mind.

Conference Dinner #

The social dinner will be on Thursday 29th, from 8pm. It is included in the registration fee and it will take place on Harald’s Ski Restaurant Bar (less than 5 minutes by walk from the suggested hotels).

Prizes #

We are pleased to announce that this year we will be awarding three prizes, each worth £200: a Reproducibility Prize and two prizes for Early Career Researchers (ECRs), and consist of the Best ECR Talk and the Best ECR Poster. The latter two will be voted by the BioInference participants during the conference.

The Reproducibility Prize will be awarded to the individual whose research (which must be that presented at the conference) is judged to be the most straightforward to reproduce. This is open to all conference presenters, whether presenting a talk or a poster. If you would like to be considered for this prize, we ask that you email bioinference@gmail.com with the subject “Reproducible Prize” by the 18th of May to self nominate and include in the message a link to the location of your code repository. It is a precondition that, to be considered for this prize, your code must be housed in an open-source location (e.g. a public Github repository), with all information required to reproduce your work.

The winners of the three prizes will be announced on Friday afternoon (30th of May) during the Closing remarks of the conference.

Featured Talks #

A booklet containing the schedule for all the talks their abstracts, and other additional information is now available here. Please find below the list of all talk titles:

• Matthew Adeoye (University of Warwick) - Bayesian Spatio-temporal Modelling for Infectious Disease Outbreak Detection
• Jennifer Asimit (University of Cambridge MRC Biostatistics Unit) - Improved genetic discovery and fine-mapping resolution through multivariate latent factor analysis of high-dimensional traits
• Veronica Biancacci (Vrije Universiteit Brussel) - Physics-Informed model-based reinforcement learning for pandemic mitigation
• Meritxell Brunet Guasch (University of Edinburgh) - Quantifying the evolution of metastati potential across cancer tissues
• Margherita Bruno (CentraleSupélec-Université Paris-Saclay) - Inferring the acquisition age of JAK2-V617F mutation in MPN patients from phylogenetic data and an ABC-SMC model selection procedure
• Alberto Cassese (University of Florence) - Bison - Bi-clustering of spatial omics data with feature selection
• Andrea Corbetta (Human Technopole) - Genetics helps determine differences in response to statin treatment: analysis on short and long-term low-density lipoprotein cholesterol trajectories
• Diego di Bernardo (Telethon Institute of Genetics and Medicine) - Investigation of dynamic regulation of TFEB nuclear shuttling by microfluidics and quantitative modelling
• Andrew Golightly (University of Durham) - Accelerating Bayesian inference for stochastic epidemic models using incidence data
• Henrik Häggström (Chalmers University of Technology and University of Gothenburg) - Simulation-based inference for stochastic nonlinear mixed-effects models with applications in systems biology
• Ferdinando Insalata (Imperial College London) - Mutational signatures of deterministic and noise-induced evolutionary mechanisms
• Hetvi Jethwani (Imperial College London) - The role of rare somatic mtDNA mutations in proliferative tissue aging
• Richard Kettle (University of Edinburgh) - Quantifying Immune Cell Subtypes and States under Cytokine Perturbations States
• Zhana Kuncheva (Bioxcelerate AI) - Can causal inference complete the multi-omics game?
• Anastasia Mantziou (University of Warwick) - Bayesian model-based clustering for populations of network data
• Antonietta Mira (Universita’ della Svizzera Italiana) - On the notion of data intrinsic dimension and its biomedical applications
• Yoav Ram (Tel Aviv University) - Quantifying Cultural Evolution Using Population Genetic Methods
• Davide Risso (University of Padova, Italy) - Scalable and interpretable analysis of single-cell omics data
• Hélène Ruffieux (University of Cambridge) - A Bayesian functional factor model for high-dimensional molecular curves
• Jaromir Sant (Universita di Torino) - Inference of genome-wide genealogical relationships between ancient and modern individuals
• Florian Schunck (Osnabrück University) - Modeling the Bigger Picture: Hierarchical Approaches for Integrating Diverse Toxicological Data in Mechanistic Models
• Jonasz Słomka (ETH Zurich) - How encounters at the microscale prime microbial interactions
• Nicholas Steyn (University of Oxford) - SMC methods for epidemic renewal models
• Ben Swallow (University of St Andrew’s) - Spatio-temporal Gaussian processes on GPUs
• Simone Tiberi (University of Bologna) - IsoBayes: a Bayesian approach for single-isoform proteomics inference

Featured Posters #

A booklet containing the abstracts of all featured posters is now available here. Please find below the list of all poster titles:

• Lorenzo Alonso Requena (Imperial College London) - Longitudinal Multi-Omic Data Integration for the Study Relapse in an MCF7 model of ER+ Breast Cancer
• Tarek Alrefae (University of Oxford) - Inferring the Force of Infection via Serocatalytic Modelling
• Inga Huld Ármann (Imperial College London) - Exploring Metabolomic Data Structures and Subtypes in Prostate Cancer
• Nadav Ben Nun (Tel Aviv University) - Inference from Highly Variable Experimental Replicates with the Collective Posterior Distribution
• Lucie Brolon (Université Paris Cité) - Modeling T-cell and dendritic cell communication
• Giulia Capitoli (University of Milano-Bicocca) - Spatially informed sparse Gaussian Graphical Mixture Model to detect latent patterns in mass spectrometry imaging
• Arianna Ceccarelli (University of Oxford) - A Bayesian inference framework to calibrate one-dimensional velocity-jump models for single-agent motion using discrete-time noisy data
• Alex Cecchetto (Università degli studi di Padova) - Generalized Matrix Factorization: A Flexible Framework for Spatially-Resolved Omics Data
• Holly Chambers (Imperial College London) - Benchmarking Causal Discovery Methods for Partially Observed Biochemical Kinetics
• Valerii Chirkov (Humboldt University of Berlin) - Dynamics of Spatio-Temporal Clusters in Social Foraging
• Emma Davis (University of Warwick) - Modelling the role of human migration in disease elimination and resurgence
• Bowen Fang (University of Warwick) - Numerical Splitting Methods for SDEs: Simulation and Inference
• Alicia Gill (University of Oxford) - Bayesian Inference of Reproduction Number from Epidemic and Genomic Data using Particle MCMC Methods
• Isaac Hayden (Imperial College London) - Estimating Hypertension Incidence in Uganda: A Bayesian Framework for Incomplete Blood Pressure Data
• Shu Huang (University of Warwick) - Inference for Diffusion Processes via Controlled Sequential Monte Carlo and Splitting Schemes
• Josef Janák (University of Pavia) - Parameter estimation in an SPDE model for cell repolarisation
• Petar Jovanovski (Chalmers University of Technology) - Simulation-based inference using splitting integrators for partially observed diffusions in chemical reaction networks
• Endri Mjeku (Imperial College London) - Stochastic Modelling of mtDNA Replication Dynamics
• Tom Morrish (University of Warwick) - Model-Informed Classification with Path Signatures: Predicting Bacterial Health
• Ella Orme (Imperial College London) - Non-negative matrix tri-factorisation for multi-view biclustering
• Berk Tan Perçin (CNR) - A stochastic model to simulate pest dynamics
• Finlay Plumb (University of Warwick) - Signature Methods for Sleep Stage Classification
• Alicia Quirós (Universidad de León) - Bayesian variable selection with missing data: an application to cardiology
• Dario Righelli (University of Naples “Federico II”) - SpaceTrooper, an R package for the preprocessing and quality control of imaging-based spatial transcriptomics data
• Megan Ruffle (University of Bristol) - Benchmarking Probabilistic Programming Languages: Stan vs. NumPyro in Infectious Disease Modelling
• Sviatoslav Rybnikov (The Hebrew University of Jerusalem) - Integrating gene drives and conventional pest control methods to minimize spillover risk
• Ivan Sciascia (Università di Torino) - An archive of bioimages from confocal microscopy
• Shigeru Shinomoto (Kyoto University) - Nondifferentiable activity in the brain
• Andrey Shternshis (Uppsala University) - Predicting allergy and postpartum depression from incomplete compositional microbiome
• Astrid Sierens (Hasselt University, Vrije Universiteit Brussel) - Modelling contact and airborne transmission in an individual-based model with venues for COVID-19
• Lucas Siu (Imperial College London) - Multi-trait signed linkage disequilibrium profile regression
• Jack Soulsby (Imperial College London) - High resolution Markov transition probabilities for scRNA-seq analysis
• Luca Vedovelli (Università Degli Studi di Padova) - spatialBenchR: a Simulation Framework for Single-Cell Spatial Data
• Edwin Weinholtz (TU Dresden) - Quantifying the Collective Behaviour of Cancer Cells: A Novel Framework for Analyzing Cell Clustering and Therapy Resistance
• Adriana Zanca (University of Melbourne) - Inferring chemical reaction networks with Catalyst.jl

Conference Organisers #

• Advisory Committee : Enrico Bibbona (Politecnico di Torino), Marina Evangelou (Imperial College London), Ben Lambert (Oxford), Massimiliano Tamborrino (Warwick).
• Scientific Committee : Martina Amongero (University of Turin), Ioana Bouros (Oxford), Julia Brettschneider (Warwick), Marina Evangelou (Imperial College London), Aden Forrow (Maine), Alicia Gill (Warwick), Constandina Koki (Warwick), Andrii Krutsylo (Institute of Computer Science Polish Academy of Science), Hamid Rahkooy (Oxford), Elena Sabbioni (Politecnico di Torino).
• Organising Committee : Martina Amongero (University of Turin), Enrico Bibbona (Politecnico di Torino), Giulia Capitoli (University of Milano-Bicocca), Elena Sabbioni (Politecnico di Torino), Massimiliano Tamborrino (Warwick).

The conference is genereously sponsored by #

• Politecnico di Torino
• Elsevier
• Society for Mathematical Biology
• ESMTB

We also thank IBS Italy for patronage of this edition of the BioInference conference.