BIOMAT International Summer School 2024. Mathematical models in inmunology
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BIOMAT International Summer School 2024. Mathematical models in inmunology
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Description of the activity
 | This edition of the Biomath International Summer School focuses on the mathematical modeling of the immune system, whose complete understanding has not been achievedyet. Being able to predict the outcome of the interactions between the many elements of the immune system is crucial for the development of effective vaccines, particularly in humans. We have recently witnessed a new generation of vaccines based on RNA technology, which proved crucial for the management of the Covid-19 pandemics. Furthermore, recent advances in the understanding of cells of the immune system, such as T-cells (training, reprogramming, etc), are promoting the development of immunotherapies for different types of cancer. In this context, the scientific community is starting to envision the design of specific vaccines to target some of them. The courses will cover a variety of techniques ranging from multiscale modeling, to machine learning, deep learning, stochastic modeling, data analysis, experimental techniques and specific applications to immunology, tumor dynamics and immunotherapy. |
Target audience
Master students with an interest on quantitative modeling techniques and their aplications in Biology and Health Sciences. PhD students and early postdocs working on specific topics in Biomathematics or Biophysics. In general, researchers interested in the development of interdisciplinary collaborations connecting Mathematics, Physics, Data Science, Biology and/or Medicine will surely profit from this summer school.
Date
From June 17th to June 21st 2024
Organizing committee
• Tomás Alarcón (Centre de Recerca Matemática)
• Juan Calvo (Universidad de Granada)
• David Poyato (Universidad de Granada)
• Juan Soler (Universidad de Granada)
Minicourses
• Sebastien Benzekry, Inertia and Centre of Research in Cancer of MarseilleMechanistic learning to predict response and survival in immuno-oncology.
• Clemente Fernández Arias, Universidad ComplutenseImmune defences across biological scales: bacteria, ants, and T cells.
• Marc Güell, Universitat Pompeu FabraAI-guided biological hardware design: Towards the synthetic evolution machine.
• Yang Kuang, Arizona State UniversityApplications of models of tumour-immune dynamics with an immune checkpoint Inhibitor.
• John Lowengrub, University of California, IrvineTBA
• Carmen Molina-Paris, Los Alamos National LaboratoryTheoretical immunology at the molecular, cellular and population scales: a stochastic perspective.
• Miguel A. Moreno Mateos, Andalusian Center for Developmental Biology (UPO/CSIC/JA),CRISPR-Cas in vivo optimizations to understand early vertebrate development and human diseases.
• Russell Rockne, Division of Mathematical Oncology, City of HopeMathematical models of immunotherapy in cancer.
Special Session: Celebrating the Contribution of Miguel A. Herrero to the Foundation of Biomat:
• Álvaro Köhn-Luque, Oslo Centre for Biostatistics and Epidemiology, University of OsloPhenotypic deconvolution of cancer cell populations.
• Gerardo Oleaga, Universidad Complutense de MadridGeneralized cognitive maps
• Juan Carlos López Alfonso, Audi AG, GermanyHarnessing tumour-immune ecosystem dynamics to personalize cancer treatment
Sponsors
• Junta de Andalucía
• European Commission
• Centre de Recerca Matemàtica
• MNat