Caleb Moses
PHD Student at McGill University
Wellington, Wellington, New Zealand
Summary
👤
Senior🎓
Top SchoolCaleb Moses is a mathematician-turned-data scientist and PhD student with 10 years’ experience applying machine learning, NLP, and automation to real-world problems across academia and government. Based at McGill and Mila, his doctoral work focuses on using AI to help revitalize under-resourced languages, blending rigorous computational methods with cultural and ethical considerations. He brings a strong statistical foundation from roles at Stats NZ where he specialised in confidentiality and automated data pipelines, and industry experience delivering ML and visualization solutions at Dragonfly Data Science. Fluent in Python and R, Caleb pairs pure-math training with interdisciplinary study (philosophy, Japanese, physics, economics) that informs thoughtful approaches to data ethics and privacy.
10 years of coding experience
Postgraduate Diploma of Science (PGDipSci), Mathematics, Postgraduate Diploma of Science (PGDipSci), Mathematics at University of Auckland
Japanese, Korean
Github Skills (175)
speech-to-text10
raspberry10
cluster-computing9
pipeline9
latex9
epub9
python9
deep-learning9
speech9
bookdown9
embedded9
gitbook9
machine-learning9
r-package9
rmarkdown9
Programming languages (11)
Github contributions (5)
dragonfly-science/papers-past
Sep 2020 - Jun 2021
Contributions:1 review, 5 PRs, 138 pushes in 8 months
mathematiguy/te-wiki-o-te-reo
Sep 2018 - Oct 2020
NLP for Te Reo Māori for Te Wiki o Te Reo 2018
Contributions:4 PRs, 19 pushes, 4 comments in 2 years 1 month
nlpwikinatural-language-processingori
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