Samuel Albanie
Research Scientist in AI
London, England, United Kingdom
Summary
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Rockstar🎓
Top SchoolSamuel Albanie is a Research Scientist in AI based in London with 12 years of experience blending rigorous mathematics and applied machine learning. Trained with an MMath from Oxford and an MSc (Distinction) in Networks and Distributed Systems from Trinity College Dublin, he brings strong theoretical grounding to practical AI problems. His work spans research and software engineering, including contributions to the well-known MatConvNet library where he improved CUDA code, documentation, and convolutional components. Comfortable moving between research prototypes and production code, he focuses on clarity, reproducibility, and incremental improvements that make complex models more maintainable. Samuel is also active in public-facing science communication and maintains an online presence showcasing his projects and talks. This combination of academic pedigree, hands-on code contributions, and public engagement makes him adept at turning advanced ideas into usable tools.
12 years of coding experience
MMath, Mathematics, MMath, Mathematics at University of OxfordMaster of Science (MSc), Networks and Distributed Systems, Distinction (placed first in year), Master of Science (MSc), Networks and Distributed Systems, Distinction (placed first in year) at Trinity College, Dublin
Github Skills (6)
mask-rcnn10
faster-rcnn10
matlab10
deep-learning10
cuda9
computer-engineering8
Programming languages (11)
Github contributions (5)
vlfeat/matconvnet
Feb 2016 - Jul 2018
MatConvNet: CNNs for MATLAB
Role in this project:
Software Engineer
Software EngineerContributions:39 commits, 4 PRs, 1 push in 2 years 6 months
Contributions summary:Samuel primarily contributed to improving the codebase, focusing on fixing typos and addressing minor bugs across multiple files within the MatConvNet library. Their work involved correcting documentation, refining comments within CUDA files, and modifying code related to dilated convolutions and the DagNN class. They also addressed variable duplication and made minor improvements to various files.
pytorchmatlabdeep-learningcnnsmatconvnet
albanie/mcnDatasets
Sep 2017 - Aug 2018
Contributions:47 commits, 37 pushes in 10 months
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