Sami Alabed is a Senior Research Scientist at DeepMind with 11 years of industry experience at the nexus of systems for ML and ML for systems. He holds a PhD and MPhil from the University of Cambridge where he specialised in automatic systems optimisation, and has applied that expertise across roles at DeepMind, Twitter, Google, Amazon and the Alan Turing Institute. His research focuses on Bayesian optimization and reinforcement learning to solve challenging system-level problems, bridging theoretical methods and production-scale reliability. Sami’s background in site reliability and backend engineering gives him a practical edge in deploying research into robust systems. Based in London, he combines deep academic training with hands-on engineering experience across major tech platforms. An understated strength is his fluency in both research methodology and operational constraints, enabling impactful, deployable innovations.
11 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BSc Computer Science with Industrial Experience, Bachelor of Science - BSc Computer Science with Industrial Experience at The University of Manchester
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of Cambridge
Implementation of 'A Convolutional Attention Network for Extreme Summarization of Source Code'
Contributions:99 commits, 5 PRs, 75 pushes in 1 month
pytorchnlpextremeconvolutionalattention-network
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Sami Alabed - Senior Research Scientist at Google DeepMind