Ghislain Fourny is a research scientist based in Zurich with 14 years of experience at the intersection of theoretical physics, game theory, and data-centric programming languages. He advocates for bold revisions to foundational assumptions—arguing for deterministic extensions of quantum theory and a Non‑Nashian game theory that accounts for modern AI and weakened free choice. Ghislain champions functional query languages and abstract data models for data science productivity, notably through the RumbleDB project and associated research. He combines rigorous academic thinking with practical open-source engineering, translating deep theoretical insights into usable tooling for data processing. Known for connecting seemingly disparate fields, he brings a rare blend of philosophical rigor and software craftsmanship to problems in computation and decision theory.
⛈️ RumbleDB 1.22.0 "Pyrenean oak" 🌳 for Apache Spark | Run queries on your large-scale, messy JSON-like data (JSON, text, CSV, Parquet, ROOT, AVRO, SVM...) | No install required (just a jar to download) | Declarative Machine Learning and more
Contributions:39 releases, 17 reviews, 3969 commits in 5 years 4 months
Contributions:18 commits, 17 pushes in 2 years 5 months
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Ghislain Fourny - Research Scientist at ETH Zurich