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X-WR-CALDESC:DeustoCCM - Chair of Computational Mathematics at University of Deusto
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DTSTART:20250507T140000Z
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DTSTAMP:20251031T212600Z
CREATED:20251031
LAST-MODIFIED:20251031
PRIORITY:5
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SUMMARY:FAU MoD Lecture: Mathematics of neural stem cells: Linking data and processes
DESCRIPTION:Date: Wed. May 7, 2025\nEvent: FAU MoD Lecture\nOrganized by: FAU MoD, the Research Center for Mathematics of Data at Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany)\nFAU MoD Lecture: Mathematics of neural stem cells: Linking data and processes\nSpeaker: Prof. Dr. Ana Martin-Villalba\nAffiliation: Molecular Neurobiology. DKFZ, German Cancer Research Center (Deutsches Krebsforschungszentrum). Germany\nAbstract. Adult stem cells are described as a discrete population of cells that stand at the top of a hierarchy of progressively differentiating cells. Through their unique ability to self-renew and differentiate, they regulate the number of end-differentiated cells that contribute to tissue physiology. The question of how discrete, continuous, or reversible the transitions through these hierarchies are and the precise parameters that determine the ultimate performance of stem cells in adulthood are the subject of intense research. In my talk I will sketch opportunities for mathematical modelling to improve the mechanistic understanding of stem cell dynamics in adult tissues.\nOUR SPEAKER\nAna Martin-Villalba studied medicine in Murcia, Spain and Leeds, UK and received her Ph.D. from the University of Heidelberg for investigating the role of death ligands in stroke. Thereafter she moved to the german cancer research center (DKFZ) where she further worked on devicing strategies for CNS repair following stroke, spinal cord injuries or chronic CNS disorders with a focus on the interaction of the innate immune system for activation of endogenous stem cells. Her research now centers in understanding stem cell behaviour in homeostasis, aging and disease including CNS-injuries and cancer, for which she has pioneered the application of single cell technologies. \n\nSee poster\nAUDIENCE\nThis is a hybrid event (On-site/online) open to: Public, Students, Postdocs, Professors, Faculty, Alumni and the scientific community all around the world.\nWHEN\nWed. May 7, 2025 at 16:00H (Berlin time)\nWHERE\nOn-site / Online\n[On-site]\nFriedrich-Alexander-Universität Erlangen-Nürnberg.\nRoom H12. Felix-Klein building. Mathematik/Informatik.\nGPS-Koord. Raum: 49.573704N, 11.030114E\n[Online]\nhttps://www.fau.tv/fau-mod-livestream-2025\n \nLink to share this event: https://go.fau.de/1beie\nThis event @LinkedIn\n \nYou might like:\n• FAU MoD Lectures\n• Upcoming events\n• FAU MoD Lecture: FAU MoD Lecture S. Jin / N. Liu (double session) by Prof. Dr. Shi Jin and Prof. Dr. Nana Liu\n• FAU MoD Lecture: Do you think you understand sex and death? Why predictions about biological processes require more than just intuition by Prof. Dr. Hanna Kokko\n• FAU MoD Lecture: FAU MoD Lecture. Special December 2024 by Prof. Dr. Holger Rauhut and Prof. Dr. Christian Bär\n• FAU MoD Lecture: Measuring productivity and fixedness in lexico-syntactic constructions by Prof. Dr. Stephanie Evert\n• FAU MoD Lecture: New avenues for the interaction of computational mechanics and machine learning by Prof. Dr. Paolo Zunino\n• FAU MoD Lecture: Discovering and Communicating Excellence by Prof. Dr. Ute Klammer\n• FAU MoD Lecture: Thoughts on Machine Learning by Prof. Dr. Rupert Klein\n• FAU MoD Lecture: Using system knowledge for improved sample efficiency in data-driven modeling and control of complex technical systems by Prof. Dr. Sebastian Peitz\n• FAU MoD Lecture: Image Reconstruction – The Dialectic of Modelling and Learning by Prof. Dr. Martin Burger\n• FAU MoD Lecture: The role of Artificial Intelligence in the future of mathematics by Prof. Dr. Amaury Hayat\n• FAU MoD Lecture: FAU MoD Lecture. Special November 2023 by Prof. Dr. Michael Kohlhase and Prof. Dr. Edriss S. Titi\n• FAU MoD Lecture: Free boundary regularity for the obstacle problem by Prof. Dr. Alessio Figalli\n• FAU MoD Lecture: Physics-Based and Data-Driven-Based Algorithms for the Simulation of the Heart Function  by Prof. Dr. Alfio Quarteroni\n• FAU MoD Lecture: From Physics-Informed Machine Learning to Physics-Informed Machine Intelligence: Quo Vadimus?  by Prof. Dr. George Karniadakis\n• FAU MoD Lecture: From Alan Turing to contact geometry: Towards a “Fluid computer” by Prof. Dr. Eva Miranda\n• FAU MoD Lecture:  Applications of AAA Rational Approximation by Prof. Dr. Nick Trefethen\n• FAU MoD Lecture:  Learning-Based Optimization and PDE Control in User-Assignable Finite Time by Prof. Dr. Miroslav Krstic\n  \n_\nDon’t miss out our last news and connect with us!\nLinkedIn | Bluesky | Instagram | YouTube | X (Twitter)\n
URL:https://cmc.deusto.eus/events-calendar/fau-mod-lecture-mathematics-of-neural-stem-cells-linking-data-and-processes/
ORGANIZER;CN=FAU MoD:MAILTO:
CATEGORIES:FAU MoD Lecture,Seminar/Talk
LOCATION:Erlangen - Bavaria, Germany
ATTACH;FMTTYPE=image/png:https://cmc.deusto.eus/wp-content/uploads/FAUMoDLecture_aMartinVillalba_07may2025.png
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