Christina Baek
Scholar

Christina Baek

Google Scholar ID: 8jVzL_YAAAAJ
PhD Carnegie Mellon University
Machine Learning
Citations & Impact
All-time
Citations
845
 
H-index
10
 
i10-index
10
 
Publications
18
 
Co-authors
0
 
Resume (English only)
Background
  • Fourth-year PhD student in Machine Learning at Carnegie Mellon University
  • Interested in robust ML and understanding deep learning through scientific methods
  • Research focuses on out-of-distribution and long-tail behaviors of models
  • Worked on strategies for model assessment under real-world distribution shifts with limited labeled data
  • Recently interested in building robust agents by tracing how undesired behaviors stem from error propagation across training, inference, and interaction
Co-authors
0 total
Co-authors: 0 (list not available)