Mai Cock is a postdoctoral researcher and advocate for equitable machine learning with a decade of experience applying ML to educational technologies and behavior modeling in serious games. Holding a PhD from EPFL and an MSc in Machine Learning from KTH, she blends rigorous research— including a research visit on fair ML at Cornell— with practical engineering experience from roles at Aiwizo and data projects at the Dutch statistics bureau. Her work spans algorithmic fairness, synthetic oversampling methods, and applied classroom technologies, reflecting a rare combination of theoretical depth and production-oriented ML delivery. Based in Lausanne, she is notable for translating academic innovations (e.g., efficient oversampling concepts) into deployable tools that improve assessment and inclusion in learning systems.
10 years of coding experience
1 year of employment as a software developer
Master of Science - MS, Machine Learning, Master of Science - MS, Machine Learning at KTH Royal Institute of Technology
CESS, CESS at Collège du Sacré-Coeur de Charleroi
Bachelor of Applied Science (B.A.Sc.), Knowledge Engineering and Data Science, Bachelor of Applied Science (B.A.Sc.), Knowledge Engineering and Data Science at Maastricht University
Doctor of Philosophy - PhD , Computer Science (AI) & Education, Doctor of Philosophy - PhD , Computer Science (AI) & Education at EPFL
Research Visit, Fair Machine Learning Algorithms, Research Visit, Fair Machine Learning Algorithms at Cornell University
Deep Neural Networks to colorize grey images. The results blue my mind!
Contributions:78 commits, 10 PRs, 31 pushes in 1 month
bluedeep-learninggreyneural-networkscolorize
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Mai Cock - Postdoctoral Researcher at Sorbonne Université