modeling nature from nano to macro
BIOMAT 2023
Multiscale Methods at the Frontier Between Data and Mathematical Models
Jointly organized by Modeling Nature (MNat), University of Granada & Centre de Recerca Matemàtica (CRM), Barcelona
The eighteenth edition of the Biomat International Summer School is based on the relationship between Biochemistry and Biomechanics, and their possible applications in neuroscience. The determination of the chemical interactions that govern the genesis, growth and renewal of different types of tissues is an emerging research problem in which advances have begun to be made with important implications. To some extent, it may be surprising to understand that the mechanical interactions that take place during the mentioned processes can also condition the functioning of a whole series of chemical reactions that take place in the tissue itself. The proper understanding of this type of relationship requires approaches that combine physical-mathematical foundations, analysis of experimental data, and computational simulation of models.
That is why the lines of teaching and research that this summer school addresses are found at the interface between Physics, Mathematics, Biology, Computer Science and the aforementioned Life Sciences and Social Sciences. The speakers have extensive experience in multidisciplinary research, which, from the point of view of training young scientists, will allow them to integrate various research sensibilities: mathematical modeling from micro to macro, complexity, data analysis, developmental biology , biomechanics, tumor dynamics, cell mechanics, social dynamics, numerical simulation, Deep learning… In turn, students will be able to make contact with the new frontiers of knowledge that are opening up as a result of the combination of the mentioned aspects, allowing them to acquire a privileged position to address cutting-edge lines of research with wide repercussions on society.
It is a fact that these types of topics are framed in an international context that is increasingly conducive to collaborations between scientists and specialists from different disciplines. For the reasons mentioned, this type of multidisciplinary school is growing
Multiscale Methods at the Frontier Between Data and Mathematical Models
Program
Barcelona, June 12-16, 2023
Minicourses
Katie Bentley, Francis Crick Institute & King's College, London
TBA
Dagmar Iber, ETH Zurich
Mathematical modelling of self-organisation during embryonic development
Jean-François Joanny, College de France, Paris
Cell Motility
Giovanni Petri, CENTAI Institute, Italy
Bridging between higher-order mechanisms and higher-order phenomena
Bernadette Stolz-Pretzer, École Polytechnique Fédérale de Lausanne
Topological Data Analysis for Oncology
Keynote speakers
Marino Arroyo, Universitat Politécnica de Catalunya
TBA
Ana Paula Millán, Universidad de Granada
Emergent synchronization in networks with high-order interactions:
unraveling geometry and topology
Xavier Trepat, IBEC, Barcelona
Mechanobiology of cell sheets from the bottom up
Alfonso Valencia, Centro Nacional de Supercomputación de Barcelona
TBA
Granada, March to May 2023
Minicourses
Nicola Bellomo, Universidad de Granada, 22-24 March 2023
A Quest Towards a Mathematical Theory of Multiscale, Behavioral Epidemiology
Martina Conte, Politecnico de Turin, 22-26 May 2023
Modeling glioblastoma dynamics
Vincent Calvez, CNRS, Istitute Camile Jordan, Université Lyon, France, 22-26 May 2023
Collective cellular migration along self-generated gradients