Adam Candy
Research Scientist at Utrecht University
Delft, South Holland, Netherlands
Summary
👤
Senior🎓
Top SchoolAdam Candy is a research scientist with 14 years' experience developing mathematically rigorous numerical methods for highly multi-scale, anisotropically unstructured finite element models in oceanography and cryospheric systems. He has led world-first implementations — including the first efficient fully 3D flood inundation model bridging global to urban scales — and is building adaptive non-hydrostatic models of ice-shelf cavities applied to Pine Island Glacier. His work spans collaborations across TU Delft, Utrecht University, NIOZ and international partners (UT Austin, Notre Dame, Puerto Rico), and has been supported by major HPC grants and EU funding. Adam blends deep theoretical training (Cambridge Part III, PhD in Numerical Analysis and Computational Physics) with hands-on high-performance code development for geohazard and climate-relevant problems. He focuses on practical advances in mixed/stabilised finite elements, anisotropic adaptive meshing, and adjoint-based uncertainty quantification to reveal processes hidden at the interface of scales. A less obvious strength is his track record of connecting geophysical modelling to interdisciplinary domains—biology, archaeology and engineering—to ensure numerical advances translate to real-world environmental insight.
15 years of coding experience
11 years of employment as a software developer
Part III Mathematics (Certificate of Advanced Study in Mathematics, MMath), Mathematics and Theoretical Physics, Part III Mathematics (Certificate of Advanced Study in Mathematics, MMath), Mathematics and Theoretical Physics at University of CambridgeDoctor of Philosophy - PhD, Numerical Analysis and Computational Physics, Doctor of Philosophy - PhD, Numerical Analysis and Computational Physics at Imperial College London
Japanese
Github Skills (43)
exif10
python10
synology10
photography10
google-photos10
automation10
google-photos-api10
driver10
dropbox10
command-line10
computational-fluid-dynamics10
adafruit-circuit-python10
exiftool10
cli10
discretization8
Programming languages (7)
Github contributions (5)
adamcandy/Shingle
Jul 2013 - Jul 2018
Generalised self-consistent and automated domain discretisation for multi-scale geophysical models.
Contributions:436 commits, 1 PR, 152 pushes in 5 years
discretization
shingleproject/Shingle
Feb 2016 - Feb 2016
Contributions:10 releases, 131 commits, 140 pushes in 11 days
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