Chenyun Wu
Software Engineer at Waymo
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolChenyun Wu is a computer vision-focused software engineer at Waymo with a Ph.D. from UMass Amherst and roughly a decade of experience bridging research and production. Her work centers on joint visual-language modeling—leveraging linguistic supervision to improve fine-grained recognition, segmentation, texture understanding, and video localization. She has published and shipped research-grade systems (e.g., PhraseCut for language-based image segmentation) and has interned at Adobe, ByteDance, and Google, where she implemented practical models from U-Nets for compression to graph-based reasoning for video grounding. Based in the San Francisco Bay Area, she combines strong academic rigor (3.99 GPA in CS) with hands-on engineering that moves models from papers into deployed products. An understated strength is her teaching background, which sharpens her ability to communicate complex models across teams and mentor colleagues.
10 years of coding experience
Bachelor of Science (B.S.), Physics & Computer software, 3.69/4.00, Bachelor of Science (B.S.), Physics & Computer software, 3.69/4.00 at Peking UniversityUniversity of Massachusetts Amherst
Chinese, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (11)
cics7
python5
machine-learning4
interaction3
retrieval3
comprehension2
moments2
pytorch1
computer-vision1
deep-learning1
modular1
Programming languages (3)
Github contributions (5)
ChenyunWu/PhraseCutDataset
Feb 2019 - May 2020
Contributions:76 commits, 5 pushes, 2 branches in 1 year 3 months
umass-mlfl/umass-mlfl.github.io
Oct 2020 - Jul 2021
Machine Learning and Friends Lunch at UMass CICS
Contributions:9 commits in 9 months
cicslunchpythonmachine-learning
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