Gaël Aglin is a Senior Data Scientist based in Brussels with nine years of experience bridging academic research and industry practice in machine learning, deep learning and combinatorial optimization. After a PhD and postdoctoral work at UCLouvain where he taught and published on algorithmic approaches, he now applies advanced AI methods to production problems at BNP Paribas Fortis. He blends rigorous research instincts with hands-on engineering—starting his career as an Android developer—which helps him translate novel models into deployable solutions. Known for enjoying the discovery and analysis of new problems, he often combines data mining and optimization techniques to tackle complex, interdisciplinary challenges.
Contributions:11 pushes, 6 branches in 3 years 3 months
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