Dear all, We are happy to announce that the 6th edition of the tri-annual conference on « Stochastic Processes in Evolutionary Biology » will take place May 20-24, 2024 in the south of France close to Marseille, at CIRM (Luminy), a unique location on the doorstep of the beautiful "calanques". The conference will be a lively place to interact for researchers working at the interface between probability theory and evolution.
We are launching a call to researchers wishing to present their latest research on top of a dozen invited speakers (see list below).
Successful applications may or may not present actual biological data, but must contain interesting mathematical results. A slight preference will be given to contributions from young researchers and/or with a focus on one of the following topics:
Please send your proposal via the form https://framaforms.org/6th-cirm-conference-on-stochastic-processes-in-evolutionary-biology-luminy-france-may-20-24-2024
Deadline: December 1st, 2023.
In case your proposal is accepted (talk or poster), your accomodation at CIRM will be covered (but not your travel expenses).
Don't hesitate to contact us should you have any question. Please disseminate this announcement to interested colleagues - apologies for multiple postings.
Best wishes, Amaury Lambert Peter Pfaffelhuber List of invited speakers: Jochen Blath Camille Coron Félix Foutel--Rodier Simon Myers Sarah Penington Cornelia Pokalyuk Emmanuel Schertzer Jason Schweinsberg Charline Smadi Maite Wilke Berenguer https://conferences.cirm-math.fr/3000.html
In a rapidly changing world, understanding the intricate relationships between climate and ecosystems has become more critical than ever.
The “Climate-Inclusive Ecosystem Modeling: Understanding the Dynamics of Ecosystems in a Changing World (CIEM-24)” conference seeks to bring together researchers, scientists and stakeholders to explore and discuss cutting-edge approaches in modeling ecosystems, taking into account the profound influence of climate factors. The conference aims to address a wide range of topics, including theoretical ecology, ordinary and partial differential equations, autonomous and non-autonomous dynamical systems, multi-scale modelling, stochastic systems, among others, providing a comprehensive understanding of how climate change affects ecosystems and how ecosystem modeling can be enhanced to incorporate these effects.
Dear all,
The 3rd BioInference conference (https://bioinference.github.io/2024/) is taking place at the University of Warwick on 5th-7th June 2024.
Launched in 2022, BioInference aims to bring together researchers from across statistics and mathematical modelling who work with biological systems, and from all career stages, to foster discussions between the two communities and to prompt collaborations.
If you would like to attend the event in-person, please sign up by the 26th May 2024 (tickets limited and on a first come first served basis) at https://warwick.ac.uk/fac/sci/statistics/news/bioinference2024/registration/
Note that the registration is considered complete and successful only after having paid the £70 registration fee (covering all coffee breaks, lunch breaks, wine and food reception on the 6th June 2024).
The conference will consist of contributed talks and poster sessions, with more than 20 poster presentations. The programme and the full list of contributed talks, poster presentations and the two day schedule can be found at https://warwick.ac.uk/fac/sci/statistics/news/bioinference2024/programme/ with the book of abstract available here.
A list of confirmed talks includes: * Hannah Bensoussane (University of Warwick) - Bayesian individual-level infectious disease modelling: heterogeneous transmission and dealing with costly likelihood evaluation when estimating missing data * Alex Browning (University of Oxford) - "Little data" in mathematical oncology * Helena Coggan (University College London) - An agent-based modelling framework to study cell plasticity in non-small cell lung cancer * Sarah Filippi (Imperial College London) - Variational Bayes for high-dimensional proportional hazard models * Guglielmo Gattiglio (University of Warwick) - Nearest Neighbor GParareal: Improving Scalability of Gaussian Processes for Parallel-in-Time Solvers * Hong Ge (University of Cambridge) - TBC * Andonis Gerardos (AMU) - MiSFI, a robust algorithm to select a minimal model for dynamical data with large sampling intervals * Petar Jovanovski (Chalmers University of Technology and University of Gothenburg) - Towards Data-Conditional Simulation for ABC Inference in Stochastic Differential Equations * Cathal Mills (University of Oxford) - A multi-disciplinary approach for wavelet analysis, climate- based modelling, and probabilistic ensemble forecasting of dengue epidemic dynamics * Hamid Rahkooy (University of Oxford) - Algebraic identifiability of partial differential equation models * Nicolas Rubido (University of Aberdeen) - Small-worldness favours network inference in synthetic neural networks * Heba Sailem (King’s College London) - Deep learning approaches for identifying predictive biomarkers from the tumour microenvironment. * Vahid Shahrezaei (Imperial College London) - Bayesian model discovery for revers-engineering biochemical networks from data * Catalina Vallejos (University of Edinburgh) - Using routine healthcare data to predict future health * Andrea Mario Vergani (Human Technopole & Politecnico di Milano) - Prediction of incident cardiovascular events using cardiac MRI-derived latent factors * Qiquan Wang (Imperial College London) - A Topological Gaussian Mixture Model for Bone Marrow Morphology in Leukaemia * Huizi Zhang (University of Edinburgh) - Bayesian modelling of RNA velocity from single-cell RNA sequencing data
We are looking forward to seeing you at BioInference 2024.
Best wishes,
Massimiliano on the behalf of the BioInference Committee Enrico Bibbona (Politecnico di Torino); Ioana Bouros (Oxford); Julia Brettschneider (Warwick); Raiha Browning (Warwick); Fergus Cooper (Oxford); Marina Evangelou (Imperial College London); Aden Forrow (Maine); Constandina Koki (Warwick); Ben Lambert (Oxford); Chon Lok Lei (Macau); Massimiliano Tamborrino(Warwick); Tom Thorne (Surrey); Yongchao Huang (Aberdeen).
The International Conference on Mathematical Neuroscience (ICMNS) is an inter-disciplinary conference series, bringing together theoretical/computational neuroscientists and mathematicians. The conferences are aimed at scientists interested in using or developing mathematical techniques for neuroscience problems. The conference will take place at University College Dublin from the 12th to 14th of June 2024, and will include keynote, invited and contributed talks.
We welcome the submissions of contributed talks or posters, with deadline on the 16th of January 2024 at 23:59 (GMT). The submission involves uploading a 1-page abstract.
You can read more about the conference and submit your work on our website https://www.danieleavitabile.com/icmns24/
The field of population genomics is one of the fastest growing areas of interdisciplinary research. It is the culmination of the developing relationship between big data, mathematics and biological understanding.
The Research Students' Conference in Population Genomics 2024 intends to address every facet of this emerging field through interdisciplinary collaboration. There is much recognition that the field of population genomics is multidisciplinary, and that many research groups are sparsely distributed.
The organisers aim to bring research students working in a range of genomic and health related fields together for a three-day conference which will look at the themes: evolutionary networks, causal effect estimation and pathogen genetics.
The conference will be a formal and structured setting for postgraduate researchers, in which research can be discussed without the pressure of large number of late-stage career researchers being present.
For more information, abstract submission and sign-ups please see: https://www.maths.ed.ac.uk/school-of-mathematics/events/conferences/population-genomics-2024
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