Past events
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Ke Yuan -- Mapping the landscape of histomorphological cancer phenotypes with self-supervised learning [IN PERSON]
13:00 - 14:00 15 June 2026
Join us for this seminar by Ke Yuan (Glasgow) as part of the Maths in the Life Sciences seminar series (and the online North West Seminar Series in Mathematical Biology and Data Sciences in collaboration with Liverpool Universities). Title: Mapping the landscape of histomorphological cancer phenotypes...
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Digital Health Equity seminar: Visual aspects of digital exclusion
12:00 - 13:00 10 June 2026
The next seminar in the University of Manchester Digital Health Equity Seminar Series is on Wed 10th-Jun, 1-2pm via Zoom: https://zoom.us/j/95221111981. Sam Waller (University of Cambridge) will talk about Visual aspects of digital exclusion. For more information about the talk and the speaker, please...
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Benjamin Maier -- From Multi-Omics Data to Executable Mechanistic Models of Cell Signalling [IN PERSON]
13:00 - 14:00 8 June 2026
Join us for this seminar by Benji Maier (EMBL-EBI) as part of the Maths in the Life Sciences seminar series (and the online North West Seminar Series in Mathematical Biology and Data Sciences in collaboration with Liverpool Universities). Title: From Multi-Omics Data to Executable Mechanistic Models...
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Dynamical Systems and Analysis Seminar - Matthew Nicol
8 June - 29 September 2026
Speaker: Matthew Nicol (University of Houston) Title: Stable laws for slowly mixing dynamical systems Abstract: Stable laws are a generalization of the central limit theorem. We investigate stable laws for observables f:X-->R on dynamical systems (T,X,m). They arise when a scaling of magnitude n^(1/alpha),...
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SQUIDS-NASC Joint Seminar: Metropolis-Hastings Acceptance Behavior for Bayesian Inversion with Random Forward Solvers
11:00 - 12:00 2 June 2026
Speaker: Emil Løvbak (Karlsruhe Institute of Technology, Germany) Abstract: In various application domains, one wishes to determine which parameter values should be used for a model to match its simulation output with measurement data. In practice however, measurement error on the data means that,...
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