Daniel Zhengyu Huang (黄政宇)
Scholar

Daniel Zhengyu Huang (黄政宇)

Google Scholar ID: K9rteNIAAAAJ
Peking University / Caltech / Stanford
Computational MathematicsFluid Structure InteractionBayesian Inverse ProblemsMachine Learning
Citations & Impact
All-time
Citations
1,778
 
H-index
20
 
i10-index
26
 
Publications
20
 
Co-authors
63
list available
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Background
  • Research Interests: At the interface of computational mathematics, data science, and computational engineering. My overarching research goal is to develop scalable, reliable, and data-aware computational models that predict the behavior of real-world engineering applications and important natural phenomena, enable efficient engineering design, and support high-consequence decision-making.