Chudi Zhong
Scholar

Chudi Zhong

Google Scholar ID: DXKNTLIAAAAJ
University of North Carolina at Chapel Hill
Interpretable Machine Learning
Citations & Impact
All-time
Citations
1,816
 
H-index
10
 
i10-index
10
 
Publications
12
 
Co-authors
9
list available
Contact
Resume (English only)
Background
  • Assistant Professor at the School of Data Science and Society and Department of Statistics and Operations Research, University of North Carolina at Chapel Hill
  • Research lies at the intersection of machine learning, optimization, and human-model interaction
  • Interested in developing responsible machine learning algorithms and pipelines for high-stakes decision-making
  • Developed interpretable models that provably optimize accuracy and sparsity
  • Introduced a new machine learning paradigm called 'learning Rashomon sets' to break the interaction bottleneck by enumerating and visualizing all well-performing models