Rania Briq
Researcher at Forschungszentrum Jülich
Bonn, North Rhine-Westphalia, Germany
Summary
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Rockstar🎓
Top SchoolRania Briq is a researcher with 8 years of experience in computer vision and generative models, currently developing diffusion models for autonomous driving at Jülich Supercomputing Center. Her PhD work at the University of Bonn combined weakly supervised semantic segmentation, pose estimation, and text-conditional 2D/3D human pose and motion synthesis, and she has applied those skills in industry internships at Amazon (human motion synthesis) and Facebook Reality Labs (3D scene flow/body tracking). Earlier research on federated learning produced a robust model-averaging method rooted in the Radon center concept, with provable and practical error bounds. She has also taught AI, algorithms, and computer graphics, bridging deep research with clear pedagogy and reproducible implementations. Known for working independently on hard problems, she thrives at the intersection of generative modeling, 3D understanding, and scalable ML for real-world systems.
7 years of coding experience
3 years of employment as a software developer
B.Sc, Computer and software engineering, B.Sc, Computer and software engineering at Technion-Machon Technologi Le' IsraelDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at The University of Bonn
Arabic, English, Hebrew, German
Stackoverflow
643reputation
117kreached
9answers
32questions
Github Skills (15)
wsdl6
eclipse6
bash6
curl6
rmi6
grep6
turing-machine6
scripting6
java6
scalable5
pytorch5
deep-learning4
transformers4
transformer4
diffusion-models4
Programming languages (1)
Github contributions (5)
briqr/OnlineRobustLearning
Jul 2018 - Mar 2025
Contributions:2 pushes in 6 years 8 months
briqr/briqr.github.io
Aug 2018 - Feb 2023
Contributions:276 commits, 32 pushes in 4 years 7 months
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