Nathan Ng
Quantitative Researcher
United States
Summary
👤
Senior🎓
Top SchoolNathan Ng is a quantitative researcher and postdoctoral machine learning scientist with 11 years of hands-on experience studying discrete sequence representations, robustness, and interpretability for natural language. He completed a PhD split between the University of Toronto and MIT and has held research roles at Facebook AI, Google, Meta, and Prescient Design, contributing to wins in shared tasks and practical speedups like custom CUDA kernels for sequence models. Now at Citadel, he blends academic rigor with production-facing research, focusing on fixing model pathologies and out-of-domain generalization. A multidisciplinary background in computer science, mathematics, and music and early work in bioinformatics hint at a curiosity-driven approach that pairs theoretical insight with systems engineering.
11 years of coding experience
2 years of employment as a software developer
University of California San DiegoPost Doctoral Researcher, Machine Learning, Post Doctoral Researcher, Machine Learning at New York UniversityDoctor of Philosophy - PhD, Machine Learning, Doctor of Philosophy - PhD, Machine Learning at University of TorontoDoctor of Philosophy - PhD, Machine Learning, Doctor of Philosophy - PhD, Machine Learning at Massachusetts Institute of TechnologyHigh School, High School at Rancho Bernardo High School
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (18)
pytorch10
artificial-intelligence10
python10
ai10
sequence-to-sequence10
3d8
keypoint8
human-pose-estimation7
azerothcore7
macros6
trinitycore5
hydra4
modular4
ios1
react-native1
Programming languages (4)
Github contributions (5)
nng555/hydra
Feb 2020 - Feb 2022
Hydra is a framework for elegantly configuring complex applications
Contributions:1 PR, 19 pushes, 1 branch in 1 year 11 months
macrostrinitycoreazerothcoreframeworkcomplex-applications
nng555/fairseq-ssmba
May 2020 - Apr 2021
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Contributions:23 commits, 16 pushes in 11 months
aipythonsequence-to-sequence
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