Deeb Abdallah
Research Scientist at Ubisoft
Canada
Summary
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SeniorAbdallah Dib is a research scientist based in Canada with 13 years of experience specializing in machine learning and computer vision, particularly facial performance capture from monocular video. He holds a PhD in computer science from Université de Lorraine and has bridged academic research and industrial R&D at INRIA, Technicolor, InterDigital, and now Ubisoft. Abdallah’s work spans deep networks and practical ML pipelines that move novel computer vision methods from prototypes to production-ready systems in media and entertainment. He combines strong publication-level research rigor with hands-on engineering—having shifted between PhD research, R&D engineering, and product-focused research scientist roles. Notably, his career shows a consistent focus on facial capture technologies applied across both film/animation and real-time game contexts. Colleagues note his ability to translate complex models into scalable solutions that meet production constraints.
13 years of coding experience
Github Skills (20)
face-detection10
face10
pytorch10
3d-graphics10
raytracing10
face-tracking10
deep-learning10
self-supervised-learning10
face-recognition10
3d10
motion-capture10
differentiable-programming10
optimization10
rendering9
computer-graphics9
Programming languages (5)
Github contributions (5)
abdallahdib/DeepNextFace
May 2022 - May 2022
3D face reconstruction from monocular image via deep convolutional neural networks and differentiable ray tracing
Contributions:19 commits, 18 pushes, 1 branch in 3 days
3dconvolutional-neural-networksraytracing
abdallahdib/opengles_tutorials
Oct 2012 - May 2022
Contributions:5 commits, 4 pushes in 9 years 8 months
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