David Ham

Reader in Computational Mathematics

Imperial College London

United Kingdom

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David Ham is a Reader in Computational Mathematics at Imperial College London, UK. His research primarily focuses on finite element simulations, data assimilation, and geodynamics, as evidenced by his recent publications. He has contributed to the development of algorithms and frameworks aimed at improving the efficiency and scalability of computational methods in geoscience.

Articles (7)

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2021

Year:

2020

Year:

2020

Collaborators (4)

D. Rhodri Davies

Professor

Australian National University

AUSTRALIA

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Siavash Ghelichkhan

Australian National University

AUSTRALIA

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Stephan Kramer

Imperial College London

UNITED KINGDOM

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Nicolas Barral

University of Bordeaux

FRANCE

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David Ham

Research Interests

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Articles (7)

Consistent point data assimilation in Firedrake and Icepack

Automatic adjoint-based inversion schemes for geodynamics: reconstructing the evolution of Earth's mantle in space and time

checkpoint_schedules: schedules for incremental checkpointing of adjoint simulations

Efficient N-to-M Checkpointing Algorithm for Finite Element Simulations

Code Generation for Productive, Portable, and Scalable Finite Element Simulation in Firedrake

Goal-oriented error estimation and mesh adaptation for shallow water modelling

Slate: extending Firedrake's domain-specific abstraction to hybridized solvers for geoscience and beyond

Collaborators (4)

D. Rhodri Davies

Siavash Ghelichkhan

Stephan Kramer

Nicolas Barral

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