Adham Hashibon
Director Of The UCL Institute For Materials Discovery (Head Of Department Equivalent)
London, England, United Kingdom
Summary
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Senior🎓
Top SchoolAdham Hashibon is a materials scientist and leader who directs the UCL Institute for Materials Discovery and holds a professorship in data-driven materials discovery at UCL, combining over two decades of research experience with senior management of interdisciplinary teams. Trained with a PhD in computational materials science from the Technion, he has advanced multiscale modelling, first-principles interface studies, and led applied research at Fraunhofer and major European institutes. He champions interoperability and standardization in materials modelling—coordinating EU initiatives like SimPhoNy and FORCE and serving on the European Materials Modelling Council management board since 2014. His current focus marries ontologies, metadata standards and materials informatics to unlock greater reuse of simulation and characterization data in industry. Known for bridging deep technical modelling with practical, cross-scale integration, he’s as comfortable designing computational frameworks as steering policy and collaborative networks that accelerate materials innovation.
11 years of coding experience
20 years of employment as a software developer
PhD., Physics, Computational material science, PhD., Physics, Computational material science at Technion - Israel Institute of Technology
Hebrew, English, German, Arabic
Github Skills (23)
docker-image9
snapcraft8
kanban8
simulation-framework8
ontology8
meteor7
simulation7
sandstorm7
javascript7
crystallography7
lammps5
testing4
rust4
simplify3
meta2
Programming languages (3)
Github contributions (5)
simphony/simphony-metadata
Feb 2016 - May 2017
Contributions:27 PRs, 52 pushes, 23 branches in 1 year 3 months
pythonsimphonydefinitionsmetadata-definitionsmetadata
simphony/simphony-lammps
Dec 2014 - Mar 2017
The LAMMPS engine-wrapper for the SimPhoNy framework
Contributions:16 commits, 6 PRs, 7 pushes in 2 years 2 months
lammpssimulationmolecular-dynamics
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