Gabriel Huang
Senior Research Scientist, AI Trustworthiness & Governance at ServiceNow
Montreal, Quebec, Canada
Summary
👤
Senior🎓
Top SchoolGabriel Huang is a senior research scientist specializing in LLM agent safety, red-teaming, evaluation, and post-training workflows, with 11 years of applied ML experience and a PhD from Mila. At ServiceNow Research he builds end-to-end systems—DoomArena and TapeAgents—for stress-testing agentic systems against prompt-injection, adversarial tool interactions, and realistic enterprise constraints. He bridges research and engineering by designing attack/evaluation harnesses, calibrating LLM-as-a-judge pipelines, and operationalizing distillation and RLHF-style loops into reusable tooling. His background spans multimodal pretraining, self-supervised learning, and startup productization, giving him a rare blend of theoretical depth and production focus. Based in Montréal as a Canadian permanent resident, he is trilingual (native French, bilingual English, fluent Mandarin) and mentors graduate researchers while publishing reproducible benchmarks and frameworks.
11 years of coding experience
6 years of employment as a software developer
Master of Engineering (M.Eng.), Mathematics and Computer Science, Master of Engineering (M.Eng.), Mathematics and Computer Science at CentraleSupélecMaster's degree, Machine Learning, Master's degree, Machine Learning at Université Paris-SaclayMachine Learning - Visiting Student, Machine Learning - Visiting Student at Princeton UniversityClasse Préparatoire MPSI/MP* - Fundamental Mathematics and Physics, Classe Préparatoire MPSI/MP* - Fundamental Mathematics and Physics at Lycée HocheDoctor of Philosophy - PhD, Machine Learning, Doctor of Philosophy - PhD, Machine Learning at Mila - Quebec Artificial Intelligence Institute
English, French, Chinese
Github Skills (145)
python10
deep-learning10
gpu10
compression10
r10
prompt-tuning10
numpy10
scale10
sql10
neural-network10
spark10
java10
scala10
prompting10
mixture-of-experts10
Programming languages (7)
Github contributions (5)
gabrielhuang/centroid-networks
Sep 2018 - Sep 2019
Code for the NIPS 2017 Paper "Prototypical Networks for Few-shot Learning"
Contributions:105 commits, 89 pushes in 1 year
pytorchautoencoderprototypical-networksunsupervised-learningdeep-learning
gabrielhuang/reptile-pytorch
Apr 2018 - Oct 2018
A PyTorch implementation of OpenAI's REPTILE algorithm
Contributions:42 commits, 2 PRs, 18 pushes in 6 months
pytorchreptilepytorch-implementationopenai
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