Magali Richard

Magali Richard

I am a CNRS researcher in bioinformatics, with a background in molecular biology, genetics, and computational biology. My research focuses on tumor heterogeneity, method development, and cancer biology, and I also promote collaborative science by organizing data challenges.

Codabench: Flexible, easy-to-use, and reproducible meta-benchmark platform

We introduce Codabench, a meta-benchmark platform, that is capable of flexible and easy benchmarking and supports reproducibility. Codabench is an important step toward benchmarking and reproducible research. It has been used in various communities including graph machine learning, cancer heterogeneity, clinical diagnosis, and reinforcement learning. Codabench is ready to help trendy research, e.g., artificial intelligence (AI) for science and data-centric AI.

Recommended citation: Xu Z, Escalera S, Pavão A, Richard M, Tu WW, Yao Q, Zhao H, Guyon I. Codabench: Flexible, easy-to-use, and reproducible meta-benchmark platform. Patterns (N Y). 2022 Jun 24;3(7):100543. doi: 10.1016/j.patter.2022.100543. PMID: 35845844; PMCID: PMC9278500.
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