Chenxi Yang
Research Scientist at Meta
Austin, Texas, United States
Summary
👤
Senior🎓
Top SchoolChenxi Yang is a research scientist focused on making AI and ML systems practical, safe, and performant, with eight years of experience spanning ML algorithms, accelerator optimization, and systems research. Currently at Meta working on LLM inference and previously optimizing TPUs and hyperscale storage at Google, Chenxi blends hands-on engineering with formal methods to certify system-level properties. Her PhD work at UT Austin produced novel, certifiable learning approaches for networking, neurosymbolic programs, and adversarially robust RL, yielding significant real-world improvements like a 78% delay reduction in congestion control. She brings rare expertise at the intersection of theory and practice—designing algorithms for ML accelerators while embedding formal certification into learning-driven system components. Based in Austin, Chenxi pairs deep research credentials with practical impact on AI infrastructure and deployment.
8 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at The University of Texas at AustinBachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Fudan UniversityThe University of Hong Kong (HKU)
Github Skills (53)
performance-measurement8
robust7
detector7
webcam7
mujoco6
adversarial-learning6
simulations6
image-recognition6
multibox6
defense6
invariants6
measurement6
simulation6
object-detection5
computer-vision5
Programming languages (4)
Github contributions (5)
chenxi-yang/DSE
May 2020 - Feb 2022
Contributions:839 commits, 11 pushes in 1 year 9 months
chenxi-yang/chenxi-yang.github.io
Jan 2020 - Apr 2025
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Contributions:167 pushes in 5 years 3 months
templategithub-pages-templatemmistakesmistakesjekyll
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