Sam Coward
Doctoral Student at University of Oxford
Oxford, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolSam Coward is a Doctoral Student at the University of Oxford with a decade of industry and research experience focused on (deep) reinforcement learning. Previously a Senior Machine Learning Engineer at Zuken, he led R&D applying multi-agent and hierarchical deep RL, memory-augmented networks, and attention models to practical PCB routing and placement problems. He combines rigorous MEng training (First Class, Bristol) with hands-on product-oriented engineering from roles at Zuken and Bossa Studios, bridging research and production. Sam’s current PhD work advances RL methods while he keeps a playful side interest in parsing and language structure. Known for applying cutting-edge architectures to real-world constraints, he’s comfortable moving from prototype research to deployed systems. Based in Oxford, he brings both academic depth and a pragmatic focus on engineering outcomes.
10 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at University of OxfordMaster of Engineering - MEng, Computer Science, First Class, Master of Engineering - MEng, Computer Science, First Class at University of Bristol
Github Skills (8)
robotics6
simulation4
hardware4
reinforcement-learning4
parallel3
physics3
accelerator2
jax1
Programming languages (2)
Github contributions (5)
DramaCow/rust-lr-parsing-tools
Dec 2021 - Oct 2022
Contributions:12 commits, 15 pushes, 1 branch in 10 months
DramaCow/STDPNN
Jul 2017 - Sep 2017
Contributions:97 pushes, 9 branches in 1 month
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