Xiangning Chen
AI Research Scientist at Meta
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolXiangning Chen is an AI research scientist based in the San Francisco Bay Area with nine years of experience spanning industry research, startups, and academia. He holds a PhD in Computer Science from UCLA and a BE from Tsinghua, and has worked on multi-modal and post-training problems at OpenAI before joining Meta’s TBD Lab. Xiangning co-founded Converge Lab, blending product-minded entrepreneurship with deep technical research from stints at Google and DeepMind as a student researcher. He focuses on closing the gap between cutting-edge research and deployable systems, bringing both experimental rigor and practical engineering to large-scale model work. Notably, his career path reflects an uncommon combination of top-tier research placements and hands-on startup leadership.
8 years of coding experience
5 years of employment as a software developer
High School Affiliated to Nanjing Normal UniversityBachelor of Engineering - BE Electronic Engineering, Bachelor of Engineering - BE Electronic Engineering at Tsinghua UniversityUniversity of California, Los Angeles
Github Skills (31)
pytorch10
python10
data-science10
meta-learning10
machine-learning10
deep-learning10
tensorflow10
automl10
nas10
object-detection10
visual-question-answering10
jax10
depth10
efficientnet10
feature-selection9
Programming languages (3)
Github contributions (5)
xiangning-chen/SmoothDARTS
Feb 2020 - Apr 2021
Contributions:16 commits, 18 pushes, 1 branch in 1 year 2 months
xiangning-chen/Restricted-Boltzmann-Machine-for-Collaborative-Filtering
Aug 2017 - Feb 2020
Contributions:5 pushes, 1 branch in 2 years 6 months
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