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School of Mathematical Sciences

Mathematical Modelling for Biology, Health, and Environment

The purpose of this seminar is to provide a stimulating discussion platform between applied and pure mathematicians, mathematical biologists, statisticians, data scientists, on one side, and colleagues from biology, health, and environmental research on the other. We aim to learn more about each others' work and highlight emerging modelling opportunities. Every talk will be geared to non-experts, so come along if you like to learn new things and if you are looking to develop new collaborations.

In Semester A (2024-2025), we meet at 13:00pm (unless otherwise specified) on Mondays (in-person) in MB-503. The seminar is hybrid and can be also attended via this zoom link.

The organisers:

Natasha Blitvic, Weini Huang, Rainer Klages, Kostas Papafitsoros

  • Date
    Room
    Speaker
    Title
  • 28/09/2023 10:00 AM
    MB-204
    Naomi Levine (University of Southern California)
    How evolution of microscopic organisms in the oceans might change the global climate
  • 09/10/2023 1:00 PM
    MB-503
    Axel Rossberg (QMUL)
    A solvable two-parameter model of metacommunity ecology - and it works!
  • 13/06/2023 1:00 PM
    MB-503
    Prof. Wenying Shou (UCL)
    Towards a quantitative understanding of microbial communities
  • 06/06/2023 3:00 PM
    MB-502
    Christoph Engl (QMUL)
    Bacterial decision-making - individualism vs group behaviour in bacterial populations
  • 09/05/2023 2:00 PM
    MB-502
    István Miklós (Rényi Institute, Hungarian Academy of Sciences)
    Degree Sequence Problems in NMR Spectroscopy
  • 13/03/2023 3:00 PM
    MB-502
    Rainer Klages (QMUL)
    Stochastic modeling of biological motion: Migrating cells and foraging bumblebees
  • 20/02/2023 3:00 PM
    MB-503
    Sergi Elizalde (Dartmouth)
    A Markov-chain model of chromosomal instability
  • 07/11/2023 11:00 AM
    MB503 and Zoom
    Prof. Arne Traulsen Director of Department for Theoretical Biology, Max Planck Institute for Evolutionary Biology https://www.evolbio.mpg.de/person/12087/16397
    Social dilemmas during the pandemic: Coupling game theoretical and epidemiological models
  • 06/03/2024 3:00 PM
    MB203
    Johannes Keegstra (ETH)
    Trade-offs in bacterial search strategies: randomness, criticality and energetics.
  • 20/11/2023 1:00 PM
    MB503
    Nikola Ojkic (SBBS, QMUL)
    Antibiotic resistance mediated by bacterial cell shape and size transformation
  • 08/04/2024 1:00 PM
    MB503
    Gil Ariel (Bar-Ilan University)
    Criticality in an epidemic model with stochastic coefficients
  • 09/12/2024 1:00 PM
    MB-503
    Peter Challenor (Exeter)
    TBA
  • 11/12/2023 1:00 PM
    Online only
    Dr. Robert Grossmann (University of Potsdam)
    From data to dynamics: insights into bacterial navigation strategies
  • 02/12/2024 4:00 PM
    Online only (Note the different time)
    Josué Manik Nava Sedeño (Universidad Nacional Autónoma de México)
    TBA
  • 05/02/2024 1:00 PM
    MB503
    Rob Noble (City University of London)
    New directions in mathematical oncology
  • 12/02/2024 1:00 PM
    MB503
    Chris Eizaguirre (SBBS, QMUL) & Rainer Klages (SMS, QMUL)
    Sea turtle ecology: From conservation to mathematics
  • 26/02/2024 1:00 PM
    MB503
    Philipp Pearce (UCL)
    Some consequences of phenotypic heterogeneity in living active matter
  • 27/01/2025 1:00 PM
    MB-503
    Frederike Hanke (University of Rostock)
    TBA
  • 18/03/2024 3:00 PM
    MB503
    Mark Broom (City University of London)
    Biological modelling: some average research
  • 25/03/2024 1:00 PM
    MB503
    Andrea Cairoli (The Francis Crick Institute)
    Physical principles of Drosophila abdomen morphogenesis during metamorphosis
  • 27/11/2023 1:00 PM
    MB503
    Alessia Gentili (UCL)
    Characterisation and generation of single anomalous diffusion trajectories
  • 11/11/2024 12:30 PM
    MB-503 (Note the different time)
    Peter Thorpe (QMUL, SBBS)
    Data-centric approaches to the control of cell division
  • 14/10/2024 1:00 PM
    MB-503
    Matteo Fumagalli (QMUL, SBBS)
    Generative models for demographic inferences from population genetic data
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