Chengzhi Mao

Assistant Professor at Rutgers University–New Brunswick

New York, New York, United States
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Summary

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Senior
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Top School
Chengzhi Mao is an assistant professor and research scientist with nine years of experience specializing in vision-language foundation models, transfer learning, and multimodal knowledge distillation. After a PhD in Computer Science at Columbia and research stints at MIT CSAIL, he developed production-oriented algorithms at Google, contributing to post-training techniques and Gemini multimodal distillation efforts. His background includes internships at Microsoft Research and Waymo, giving him a blend of theoretical depth and applied systems experience in perception and autonomous driving. Now leading an academic lab at Rutgers, he bridges cutting-edge research with teachable insights for the next generation of AI researchers. Notably, his trajectory pairs elite academic training from Tsinghua and Columbia with hands-on industry projects that push model transfer and efficiency in large-scale multimodal systems.
code9 years of coding experience
job1 year of employment as a software developer
bookReseach Assistant CSAIL, Reseach Assistant CSAIL at Massachusetts Institute of Technology
bookDoctor of Philosophy - PhD CS, Doctor of Philosophy - PhD CS at Columbia University
bookBachelor of Science - BS Electronic Engineering, Bachelor of Science - BS Electronic Engineering at Tsinghua University
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Github Skills (23)

robustness10
ranking10
science10
computer-science10
react10
representation-learning9
classification9
metric-learning9
transfer-learning8
unsupervised-learning8
self-supervised-learning8
twitter-search6
tensorflow6
twitter6
deep-learning5

Programming languages (3)

CMakeLuaPython

Github contributions (5)

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cvlab-columbia/GenInt

Jan 2021 - Dec 2021

Contributions:10 commits, 6 pushes in 11 months
ChengzhiCU/UWB_ML

Mar 2018 - Jan 2020

Contributions:44 commits, 10 pushes in 1 year 10 months
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