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David Ham's research interests focus on the development and composition of high-level abstractions for scientific computation, particularly in the area of geophysical fluids. His interests extend into computational computer science, encompassing new numerical schemes and novel approaches to implementation. Recently, he has concentrated on differentiable abstractions for generating finite element models. He is the lead on the Firedrake project and is the author of dolfin-adjoint, an automated inverse simulation framework. His contributions to the field were recognized with the Wilkinson Prize for Numerical Software in 2015, highlighting his impact on computational methodologies.
Imperial College London • London, United Kingdom
Currently serving as Professor of Computational Mathematics.
Imperial College London • London, United Kingdom
Worked as Reader in Computational Mathematics.
Imperial College London • London, United Kingdom
Served as Senior Lecturer.
Imperial College London • London, United Kingdom
Undertook research as an Independent Fellow.
Imperial College London • London, United Kingdom
Conducted research under the Grantham Fellowship.
Imperial College London • London, United Kingdom
Engaged in research activities.
Imperial College London • London, United Kingdom
Worked as a Research Associate.
TU Delft, Netherlands • Delft, Netherlands
Assisted in research while completing PhD studies.
Specialisms available in Materials for the Energy Transition or Theory and Simulation of Materials.