Kian Kenyon-dean
Principal AI Research Scientist at Recursion
Old Toronto, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolKian Kenyon-dean is a Principal AI Research Scientist with a decade of experience building production-grade large-scale deep learning systems, now leading research and engineering at Recursion. He specializes in PyTorch, distributed training and serving, and transformer architectures, and has authored 12+ top-tier ML papers across venues like CVPR, ICML, NeurIPS and EMNLP. His career blends academic rigor from McGill and Mila with production impact at BMO and Recursion, delivering reproducible, scalable infrastructure for real-world ML. Known for a strong focus on reproducibility and the nature of large language models, he brings both research depth and practical deployment expertise. An often-overlooked strength is his cross-disciplinary background in cognitive science, which informs his work on model behavior and interpretability.
10 years of coding experience
8 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at McGill University
Stackoverflow
13reputation
653reached
0answers
1question
Github Skills (29)
python9
statistics9
levenshtein9
glove8
data-analysis8
machine-learning8
normalization8
edit-distance8
jaro-winkler8
levenshtein-distance8
manifold8
data-science8
word2vec7
similarity7
fasttext7
Programming languages (1)
Github contributions (5)
kiankd/vpe
Nov 2015 - Mar 2017
Contributions:157 commits, 50 pushes, 1 branch in 1 year 4 months
kiankd/goextract
Apr 2019 - Jun 2019
Contributions:38 commits, 34 pushes, 1 branch in 1 month
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