Shayan Shekarforoush
Research Scientist at Astrus
Old Toronto, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolShayan Shekarforoush is a research scientist specializing in 3D vision and deep learning with nine years of experience tackling inverse problems like 3D reconstruction and low-SNR cryo-EM data. He has a strong track record in implicit neural representations and Gaussian splatting, bridging ML and signal-processing techniques to deliver robust solutions for noisy real-world signals. Currently affiliated with Astrus and the Vector Institute while completing a PhD at the University of Toronto under David Fleet and Marcus Brubaker, he combines rigorous academic research with industry internships at Samsung and Ubisoft. His background spans international collaborations and applied research in graph convolutional networks from stints at TUM, reflecting both theoretical depth and practical engineering. Notably, he often blends probabilistic modeling with practical reconstruction pipelines, making methods that transfer well from lab to production.
9 years of coding experience
1 year of employment as a software developer
High School Mathematics and Physics Discipline, High School Mathematics and Physics Discipline at Allameh Helli TehranDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of TorontoBachelor's degree Computer Engineering, Bachelor's degree Computer Engineering at Sharif University of Technology
English, Persian
Github Skills (15)
scene6
dynamical-systems4
inverse4
control-theory4
retrieval4
scale3
implicit3
dedicated3
deep-learning3
pytorch3
numerical-methods3
differential-equations2
neural-network2
machine-learning2
information-retrieval2
Programming languages (4)
Github contributions (5)
shekshaa/InceptionGCN
Sep 2018 - May 2020
Contributions:64 commits, 43 pushes, 1 branch in 1 year 8 months
shekshaa/MLP
May 2019 - Nov 2019
Contributions:10 commits, 6 pushes, 1 branch in 6 months
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