Mengye Ren
Assistant Professor at New York University
New York, New York, United States
Summary
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Senior🎓
Top SchoolMengye Ren is an assistant professor at NYU Courant and a machine learning researcher with 13 years of experience bridging academic and industry labs, including roles at Uber ATG, Waabi, Google, Twitter, and Microsoft. He develops meta-learning and representation-learning methods aimed at human-like continual learning and adaptable agents, with notable work on contextual prototypical memory, online and incremental few-shot learning, and brain-inspired unsupervised mechanisms. Trained at the University of Toronto under Richard Zemel, he pairs strong theoretical grounding with applied research that has informed autonomous driving and contextual learning systems. Unusually, his portfolio spans both cognitively inspired models (e.g., learning to imitate drawing, divisive normalization) and practical meta-learning algorithms that reweight examples and learn regularizers, highlighting a rare blend of neuroscience intuition and engineering impact.
13 years of coding experience
6 years of employment as a software developer
Honour Diploma, Honour Diploma at Lord Byng Secondary SchoolShanghai Foreign Language School Affiliated to SISUBachelor of Applied Science (B.A.Sc.), Engineering Science, ECE Option, 3.90/4.00, Bachelor of Applied Science (B.A.Sc.), Engineering Science, ECE Option, 3.90/4.00 at University of Toronto
Github Skills (66)
python10
deep-learning10
ml10
neural-network10
nlp10
recurrent10
data-science10
tensorflow10
meta10
machine-learning10
timetable10
deep-neural-networks10
base629
transformer9
pytorch9
Programming languages (11)
Github contributions (5)
renmengye/img-count
Oct 2015 - Apr 2016
Contributions:1210 pushes, 1 branch in 6 months
renmengye/oc-fewshot-public
Jun 2020 - Jul 2021
Contributions:4 commits, 3 pushes, 1 branch in 1 year 1 month
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