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Computing Division Cross-Disciplinary Seminars (2026)

1 January 2026 to 31 December 2026
Culham/Remote
Europe/London timezone

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Session

ML/AI, UQ and Data Science

24 Feb 2026, 13:00
Culham/Remote

Culham/Remote

Conveners

ML/AI, UQ and Data Science: GPGreen: Learning Linear Operators with Gaussian Processes

  • Henry Moss (Lancaster University)
  • Thomas Cowperthwaite (University of Cambridge)

ML/AI, UQ and Data Science: Uncertainty quantification, inverse problems and timescale acceleration in atomic simulation

  • Aravinda Perera (Plasma Simulation)

Presentation materials

34_GPGreen_Learning_Linear_Ope.pdf
  1. 2. GPGreen: Learning Linear Operators with Gaussian Processes
    Mr Thomas Cowperthwaite (University of Cambridge)
    24/02/2026, 13:00

    Thomas Cowperthwaite
    Applied Mathematics PhD Student, DAMTP, University of Cambridge

    Henry Moss
    Lecturer, School of Mathematical Sciences, Lancaster University and
    Early Career Research Fellow, University of Cambridge

    Abstract

    Operator learning has emerged as a promising data-driven approach to emulating solutions of partial differential equations (PDEs)....

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  2. 3. Uncertainty quantification, inverse problems and timescale acceleration in atomic simulation
    Dr Thomas Swinburne (University of Michigan)
    11/03/2026, 14:15

    Tom Swinburne is an Assistant Professor in Mechanical Engineering at the University of Michigan, Ann Arbor; a Visiting Researcher at CNRS Physique; and Associate Editor of Computational Materials Science

    tomswinburne.github.io

    Abstract

    Recent years have seen an explosion in the use of data-driven tools in atomic simulation, following broader trends across computational...

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