Benjamin Thérien
Research Scientist Intern at Mila - Quebec Artificial Intelligence Institute
Montreal, Quebec, Canada
Summary
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Rockstar🎓
Top SchoolBenjamin Thérien is a PhD student at Université de Montréal and Mila, currently interning as a Research Scientist at Meta where he focuses on distributed optimization for cross-datacenter training of large language models. With seven years of industry and research experience spanning Meta, Capital One, Morgan Stanley, and multiple Mila internships, he brings a rare blend of systems engineering and scalable ML research—especially in LLM conversion, MoE pre-training, and high‑performance parallelism. His prior work includes converting transformers to GPT‑NeoX formats, optimizing 3D parallelism on supercomputers for 9B-parameter models, and creating a paired LiDAR-image dataset that underpinned a WACV publication. Comfortable shipping production tooling and large-scale experiments, he pairs strong software design instincts (API/automation and data pipelines) with rigorous academic output. A US and Canadian citizen based in Montreal, he’s as likely to optimize GPU TFLOPs on Summit as to lead end-to-end research projects from idea to publication.
8 years of coding experience
3 years of employment as a software developer
College Degree Business/Commerce, General, College Degree Business/Commerce, General at Marianopolis CollegeDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Université de MontréalBachelor of Science - BS Computer Science Co-op, Bachelor of Science - BS Computer Science Co-op at Concordia UniversityMMath Computer Science, MMath Computer Science at University of Waterloo
English, French
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (54)
transformers10
language-model10
camera10
deepspeed10
sensor-fusion10
lidar10
named-entity-recognition9
pytorch9
python9
text-classification9
wavelet9
semantic-segmentation9
natural-language-processing9
keras9
jax9
Programming languages (4)
Github contributions (5)
bentherien/parametricScatteringNetworks
Jul 2021 - Mar 2022
[Oral; CVPR'22] Parametric Scattering Networks
Contributions:4 commits, 6 pushes, 1 branch in 8 months
deep-learninggeometric-deep-learningimage-classificationsignal-processing
bentherien/gpt-neox
Apr 2023 - Apr 2024
An implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library.
Contributions:13 reviews, 18 PRs, 46 pushes in 11 months
deepspeed
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