Matteo Maggioni is a Senior Research Engineer based in the UK with 11 years of experience advancing computer vision, generative models, and large-scale deep learning for high-quality image and video synthesis. He holds a PhD in image processing and has combined academic rigor with industry impact across roles at Synthesia, Huawei, Foundry and Imperial College, focusing on efficient, production-ready algorithms for multiview and super-resolution systems. Matteo’s background spans statistical signal models to modern neural generative methods, giving him a rare ability to translate perceptual theory into scalable engineering solutions. At Huawei he led R&D on resource-efficient vision models, and at Synthesia he now applies that expertise to synthetic video generation—bringing both production sensibilities and deep research experience to applied AI.
10 years of coding experience
14 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Image processing, Doctor of Philosophy (Ph.D.) Image processing at Tampere University of Technology 1965-2018
Master's Degree Computer Engineering, Master's Degree Computer Engineering at Politecnico di Milano
Contributions:2 commits, 1 push, 1 branch in 2 years 1 month
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Matteo Maggioni - Senior Research Engineer at Synthesia