Sharib Ali
Research Scientist at University of Leeds
Leeds, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolSharib Ali is a research scientist with eight years of experience specializing in image analysis and medical imaging, blending classical computer vision with state-of-the-art deep learning for tasks like detection, restoration, segmentation, depth estimation, optical flow and 3D reconstruction. He has a strong academic pedigree with a PhD and postdoctoral work at DKFZ, and a track record of translational research aimed at clinical impact. Sharib founded a global endoscopy network and led the first “Endoscopy Artefact Detection” challenge and workshop at ISBI2019, demonstrating leadership in community-driven benchmarking. Based in Leeds, he actively seeks cross-disciplinary collaborations to push healthcare imaging tools toward real-world deployment. Less obvious: he combines hands-on algorithm development with organizing large-scale scientific challenges, bridging research rigor and practical adoption in clinical settings.
8 years of coding experience
Post-doc, Post-doc at DKFZ German Cancer Research CenterHigh School, High School at Birat science campusMasters by research, Masters by research at Université de BourgogneDoctor of Philosophy (Ph.D.), Doctor of Philosophy (Ph.D.) at Universite de LorraineB.E. Bachelor, B.E. Bachelor at Purbanchal University
French, English, Hindi, Nepali
Github Skills (19)
python8
deep-learning8
gpu8
machine-learning8
neural-network6
tensorflow6
numpy5
aida5
natural-language-processing4
nlp4
generative3
gpu-acceleration3
retrieval3
acceleration3
tensor3
Programming languages (2)
Github contributions (5)
sharib-vision/EndoCV2021-polyp_det_seg_gen
Jan 2021 - Feb 2022
Contributions:20 commits, 36 pushes, 1 branch in 1 year
sharib-vision/EAD2019
Nov 2018 - Mar 2019
Contributions:87 commits, 2 PRs, 140 pushes in 3 months
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