Coleman Haley
PHD Student, Centre For Doctoral Training In Natural Language Processing
City of Edinburgh, Scotland, United Kingdom
Summary
👤
Senior🎓
Top SchoolColeman Haley is a PhD student at the University of Edinburgh’s Centre for Doctoral Training in NLP, bringing nine years of research and engineering experience at the intersection of linguistics, cognitive science, and machine learning. He developed interpretable neural models for morphology and hierarchical representations in PyTorch during undergraduate research at Johns Hopkins, and has industry research experience from internships at Microsoft and IBM. Coleman’s work blends theoretical linguistics with practical systems—examples include compressing tensorial representations for polysynthetic languages and using simulated annealing to uncover phonological correlates. He’s skilled at turning linguistic insight into scalable model design and visualization tools, and has a track record of building experiments that dramatically reduce computational search spaces. Based in Edinburgh, he’s focused on neural interpretability and integrating explicit linguistic structure into modern ML pipelines.
9 years of coding experience
3 years of employment as a software developer
Johns Hopkins UniversityHigh School, High School at Abilene Christian Schools
English, Spanish, Japanese
Github Skills (11)
sequence6
tinder3
spotify3
tensorflow3
react2
letter1
privacy1
ios1
scanning1
tensor1
security1
Programming languages (3)
Github contributions (5)
ColemanHaley/LearningGraphApp
Mar 2020 - Apr 2020
Contributions:40 commits, 6 PRs, 25 pushes in 1 month
OmegaPsiJHU/website
Aug 2017 - Oct 2020
Contributions:14 pushes, 1 branch in 3 years 2 months
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