Chengzhi Mao
PhD Candidate
New York, New York, United States
Summary
👤
SeniorChengzhi 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.
9 years of coding experience
Github Skills (29)
ranking10
science10
computer-science10
react10
representation-learning9
transfer-learning8
unsupervised-learning8
points7
twitter-search7
self-supervised-learning7
supervised-learning6
simultaneous5
deep-learning5
twitter4
pytorch4
Programming languages (4)
Github contributions (5)
ChengzhiCU/UWB_ML
Mar 2018 - Jan 2020
Contributions:44 commits, 10 pushes in 1 year 10 months
columbia/Metric_Learning_Adversarial_Robustness
Oct 2019 - May 2020
Contributions:19 commits, 17 pushes, 8 comments in 6 months
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