Eleftherios Zisis
Performance Engineer at Open Brain Institute
Bussigny, Vaud, Switzerland
Summary
👤
Senior🎓
Top SchoolEleftherios Zisis is a performance engineer with a decade of experience building high-performance scientific software in Python and C++, currently contributing at the Open Brain Institute. He has a PhD in Computational Neuroscience from EPFL and a track record of turning research-grade algorithms into production-quality libraries exposed to Python via pybind11 and manylinux wheels. At Blue Brain and EPFL he designed distributed HPC workflows that generated terabytes of data, built scalable microservices for neuronal topology, and established knowledge-graph hierarchies to improve data management. Known for favoring simple, efficient, and accurate code, he also maintains open-source projects and CI/CD pipelines to ensure reproducible, deployable scientific software. Beyond coding, he bridges mathematics, physics, and computational neuroscience to deliver practical tools—an often-overlooked strength is his repeated success shipping C++ spatial indexing and topology algorithms that interoperate seamlessly with Python ecosystems.
10 years of coding experience
6 years of employment as a software developer
Master's degree, Applied Physics & Mathematics, Master's degree, Applied Physics & Mathematics at National Technical University of AthensDoctor of Philosophy - PhD, Computational Neuroscience, Doctor of Philosophy - PhD, Computational Neuroscience at EPFL (École polytechnique fédérale de Lausanne)
Github Skills (93)
connectivity10
morphology10
neurons9
atlas9
electrophysiology9
computational-neuroscience9
network-graph9
topological-data-analysis9
python9
simulation9
circuit9
topology9
neuroimaging9
neuroscience9
vtk9
Programming languages (10)
Github contributions (5)
BlueBrain/vascpy
Feb 2022 - Oct 2024
Contributions:5 releases, 2 reviews, 20 PRs in 2 years 8 months
openbraininstitute/entitysdk
Feb 2025 - Apr 2025
Python SDK for managing scientific entities with type-safe models and asset management capabilities.
Contributions:4 releases, 43 reviews, 46 PRs in 1 month
api-clientneurosciencepydanticpython3scientific-computing
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