Ziyang Jiang
Research Scientist at Meta
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolZiyang Jiang is a research scientist and PhD candidate trained in civil and environmental engineering who bridges structural engineering fundamentals with cutting-edge machine learning for environmental science and public health. With a decade of experience spanning bridge design and ML research—including internships at Amazon and Meta and current work at Meta on LLM decoding and inference optimization—he translates domain knowledge into practical algorithms for remote sensing, causal inference, and knowledge-infused models. His contributions include efficient, production-minded implementations of advanced beam search variants and contextual simulators for recommendation and debiasing, demonstrating both research depth and systems optimization skills. Comfortable moving between SAP2000 and LLM infrastructure, he aims to evolve into a professional research/data scientist focused on deploying ML that respects spatial-statistical and causal structure. An understated strength is his knack for marrying rigorous engineering practice with creative ML solutions that improve real-world decision-making.
10 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, Civil and Environmental Engineering, Doctor of Philosophy - PhD, Civil and Environmental Engineering at Duke UniversityUniversity of California San DiegoMaster of Science - MS, Structural Engineering and Geomechanics, 4.000, Master of Science - MS, Structural Engineering and Geomechanics, 4.000 at Stanford UniversityProgramming languages (1)
Github contributions (5)
jzysheep/LeetCode
Nov 2017 - Oct 2020
Contributions:152 commits, 189 pushes, 1 branch in 2 years 11 months
jzysheep/Octave
Nov 2015 - Feb 2016
Contributions:29 commits, 3 pushes, 1 branch in 3 months
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