Osman Malik
Senior Software Developer at CoLab
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolOsman Malik is a machine learning researcher and applied mathematician with eight years of experience translating cutting-edge ML theory into scalable solutions for academia and industry. He has authored multiple papers in top venues (NeurIPS, ICML, SDM) on unsupervised learning, graph neural networks and generative models, and led end-to-end projects from theory to large-scale experimental implementation and evaluation. As an Alvarez Postdoctoral Fellow at Berkeley Lab and now a research scientist at Encube Technologies, he combines rigorous numerical methods and simulation experience with practical product collaboration. His background spans quantum-inspired algorithms, tensor-based GNNs, medical imaging super-resolution and uncertainty quantification, reflecting a rare mix of theoretical depth and hands-on systems work. Comfortable communicating to both technical peers and non-technical stakeholders, he leverages prior roles in finance, edtech and sales to align research outcomes with real-world needs.
8 years of coding experience
6 years of employment as a software developer
Master of Science (MS), Applied Mathematics, Master of Science (MS), Applied Mathematics at University of WashingtonMaster of Science (MSc), Mathematics and Finance, Master of Science (MSc), Mathematics and Finance at Imperial College LondonBachelor of Science (BSc), Industrial Engineering and Management, Bachelor of Science (BSc), Industrial Engineering and Management at Chalmers University of TechnologyDoctor of Philosophy (Ph.D.), Applied Mathematics, Doctor of Philosophy (Ph.D.), Applied Mathematics at University of Colorado BoulderBachelor of Science (BSc), Economics, Bachelor of Science (BSc), Economics at University of Gothenburg
Swedish, English
Github Skills (23)
pytorch10
python10
gnn10
decomposition10
mxnet10
machine-learning10
regression10
tensorflow10
cupy10
tensorly10
jax10
numpy9
tensor9
graph-neural-network9
least-squares8
Programming languages (3)
Github contributions (5)
OsmanMalik/tr-als-sampled
Sep 2020 - May 2022
Code for our paper on sampled alternating least squares for tensor ring decomposition
Contributions:61 commits, 2 PRs, 22 pushes in 1 year 8 months
least-squarestensor
OsmanMalik/tucker-tensorsketch
May 2018 - Aug 2021
Code for our NeurIPS 2018 paper titled "Low-Rank Tucker Decomposition of Large Tensors Using TensorSketch"
Contributions:32 commits, 30 pushes, 3 branches in 3 years 3 months
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