Chenyan Wu
Research Scientist at Meta
Menlo Park, California, United States
Summary
👤
Senior🎓
Top SchoolChenyan Wu is a research scientist with nine years of experience building and deploying machine learning systems across industry and academia, currently developing foundation models for ads ranking and Reels recommendation at Meta. Her recent roles span hands-on work in multimodal LLMs at TikTok and object detection research at TuSimple, grounded in a PhD in Information Sciences and Technology from Penn State. She combines deep research rigor with production experience gained through internships at Microsoft, Amazon, Amazon Lab126, and SenseTime, enabling rapid translation from experiments to scalable products. Based in Menlo Park, Chenyan has a strong background in both theoretical and applied ML and a track record of moving cutting-edge multimodal and recommendation models toward real-world impact.
9 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Information Sciences and Technology, Doctor of Philosophy - PhD, Information Sciences and Technology at Penn State UniversityBachelor of Engineering - BE, Electronic Information Engineering, Bachelor of Engineering - BE, Electronic Information Engineering at University of Science and Technology of China
Github Skills (17)
high-resolution-net10
orientation10
high-resolution9
representation-learning9
human-pose-estimation8
pose8
deep-learning6
pytorch6
pose-estimation5
tensorflow4
regression3
faster-rcnn3
object-detection3
depth-estimation2
multimodal-deep-learning1
Programming languages (2)
Github contributions (5)
ChenyanWu/ChenyanWu.github.io
Mar 2020 - Feb 2025
Contributions:25 pushes, 1 branch in 4 years 11 months
ChenyanWu/MEBOW
Mar 2020 - Dec 2022
Code for "MEBOW: Monocular Estimation of Body Orientation In the Wild", CVPR 2020
Contributions:24 commits, 2 PRs, 33 pushes in 2 years 9 months
pytorchdeep-learningcvpr-2020bodywild
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