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.
9 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 (28)
pytorch10
python10
data-science10
meta-learning10
machine-learning10
deep-learning10
tensorflow10
automl10
nas10
object-detection10
hyperparameter-tuning10
visual-question-answering10
jax10
automated-machine-learning10
efficientnet10
Programming languages (2)
Github contributions (5)
xiangning-chen/SmoothDARTS
Feb 2020 - Apr 2021
Code for our ICML'2020 paper "Stabilizing Differentiable Architecture Search via Perturbation-based Regularization"
Contributions:16 commits, 18 pushes, 1 branch in 1 year 2 months
regularization
xiangning-chen/xiangning-chen.github.io
Dec 2020 - Jul 2025
Contributions:2 pushes in 4 years 7 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.