George Bisbas
Senior Research Engineer at Huawei
Zurich, Zurich, Switzerland
Summary
👤
Senior🎓
Top SchoolGeorge Bisbas is a Senior Research Engineer at Huawei Zurich with eight years of experience in HPC, compiler IRs, and stencil-code optimization, following a PhD and postdoc at Imperial College London. He specializes in automating cache-level and temporal blocking optimizations for finite-difference (FD) stencil computations, adding MLIR/LLVM backends and distributed-memory capabilities to the Devito DSL and compiler framework. His work spans loop transformations, code generation, parallel programming, and reproducible benchmarking, and he has contributed significant backend improvements to the widely used Devito project. Comfortable moving between deep research and practical engineering, he applies compiler technology to accelerate real-world wave-propagation and seismic imaging workloads. Unusually for an academic-focused researcher, he combines hands-on open-source development with production-oriented performance engineering in industry research.
8 years of coding experience
3 years of employment as a software developer
PhD student High Performance Embedded and Distributed Systems, PhD student High Performance Embedded and Distributed Systems at Imperial College LondonMSc Advanced Computer and Communication Systems , MSc Advanced Computer and Communication Systems at Aristotle University of Thessaloniki (AUTH)
English, French, Greek, vlach aromanian
Github Skills (5)
difference10
finite-difference10
python10
scientific-computing10
numerical-methods9
Programming languages (11)
Github contributions (5)
devitocodes/devito
Nov 2018 - Jan 2023
DSL and compiler framework for automated finite-differences and stencil computation
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1196 reviews, 547 commits, 210 PRs in 4 years 3 months
Contributions summary:George appears to be working on a scientific computing project utilizing a Domain Specific Language (DSL) for finite difference and stencil computation. Their contributions, based on the commit messages, consist of fixing typos, code cleanup, and improvements to existing example tutorials, focused on the use of new features. The user implemented changes to examples related to the diffusion equation.
code-generationautomatic-differentiationfinite-differencecompilerultrasound-imaging
devitocodes/Azure-devito
Jan 2020 - Dec 2021
Setup for MPI strong scaling and general runs on Azure
Contributions:3 PRs, 23 pushes, 3 branches in 1 year 10 months
runsmpiscalingazure
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