Christopher Re is a professor of Computer Science at Stanford University, leading research in data-centric AI, foundation models, and machine learning systems. His group has produced influential work on weak supervision (Snorkel), data programming, and robust medical image classification.
Key Publications
- Reducing Reliance on Spurious Features in Medical Image Classification with Spatial Specificity (MLHC 2022)
- A Case for Reframing Automated Medical Image Classification as Segmentation (NeurIPS 2023)