Georgios Douzas

I'm a machine learning engineer and researcher with a PhD in theoretical particle physics. Most of my research is about learning from imbalanced data, and I was recognized among Stanford's top 2% of scientists worldwide in 2024 and 2025. I also build open-source tools, including imbalanced-learn-extra for oversampling, veriphy for machine-verified physics and math proofs, and scikit-complexity for simulating complex systems.

Posts

scikit-complexity

A Python library to create and simulate complex systems

Open source

8 projects

Including imbalanced-learn-extra, veriphy and scikit-complexity.

Publications

16 papers

On imbalanced learning, reinforcement learning and particle physics.