Dear all,

registrations are now open for the 4th BioInference conference (https://bioinference.github.io/2025/), which is taking place in Bardonecchia, a town in the Alps near Turin, Italy, on the 28th-30th May 2025. 

Launched in 2022, BioInference aims to bring together researchers from across statistics and mathematical modelling who work with (broadly defined/intended) biological systems, to foster discussions and prompt collaborations  between the two communities at all career stages.

If you would like to attend the conference, please sign up by the 14th April (tickets are limited and on a first come first served basis) at https://bioinference.github.io/registration

Note that the registration is considered completed and successful only after having paid the €185 registration fee (covering three lunches, all coffee breaks and one dinner) and the accommodation fee (which is highly recommended, but not mandatory). May is the low season in Bardonecchia, so most of the hotels are closed. However, we secured single and double rooms in two partner hotels, Hotel Rivè and Hotel Cà Fiore, 100m apart, to favour further networking among participants, at a discounted price of 

· 108€ per night (with breakfast, single occupancy) 

• 160€ per night (with breakfast, double occupancy).

These rooms need to be booked at the time of the registration, paying the cost in advance, by specifying the number of nights you need the booking for. If you wish to look for alternative accommodation (possible but not recommended), you can then select the option "Registration only" on the registration page, being aware of the low availability.

Please make sure to have your Italian “Codice Fiscale” (VAT number) or your passport number at the time of registration.

The conference will consist of contributed talks and poster sessions, with more than 20 talks and 30 poster presentations. The three day schedule and the full list of poster presentations can be found at https://bioinference.github.io/2025/, while a list of confirmed talks include:

• Jennifer Asimit (University of Cambridge MRC Biostatistics Unit) - TBC
• Veronica Biancacci (Vrije Universiteit Brussel) - Physics-Informed model-based reinforcement learning for pandemic mitigation
• 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) - TBC
• Andrew Golightly (Durham University) - Accelerating Bayesian inference for stochastic epidemic models using incidence data
• Henrik Häggström (Chalmers University) - 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
• Zhana Kuncheva (Bioxcelerate AI) - TBC
• Anastasia Mantziou (University of Warwick) - Bayesian model-based clustering for populations of network data
• Antonietta Mira (Universita’ della Svizzera Italiana) - TBC
• Yoav Ram (Tel Aviv University) - Quantifying Cultural Evolution Using Population Genetic Methods
• Hélène Ruffieux (University of Cambridge) - A Bayesian functional factor model for high-dimensional molecular curves
• Davide Risso (University of Padova) - TBC
• Jaromir Sant (University of Turin) - 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
• Nicholas Steyn (University of Oxford) - SMC methods for epidemic renewal models
• Ben Swallow (University of St Andrew's) - TBC
• Jonasz Słomka (ETH Zurich) - TBC
• Simone Tiberi (University of Bologna) - IsoBayes: a Bayesian approach for single-isoform proteomics inference

More information, e.g. travel funding for early career researchers, practical information on how to get to Bardonecchia, etc. is available on the conference webpage https://bioinference.github.io/2025/

 We are looking forward to seeing you at BioInference2025 in Bardonecchia.

Enrico Bibbona

Associate Professor of Statistics

Probability, Statistics and Optimization group

Department of Mathematical Sciences "G. L Lagrange"

Politecnico di Torino

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