معرفی
Jerome Reiter is Professor of Statistical Science at Duke University. He holds no named chair appointments.
Dr. Reiter's research focuses on methodological approaches for preserving data confidentiality, handling missing values, integrating information across data sources, and analyzing surveys and causal studies. He actively collaborates with non-statisticians in social sciences and public policy.
Key research areas include:
- Differentially private data analysis methods
- Synthetic data generation for confidential datasets
- Multiple imputation techniques for complex surveys
- Causal inference with privacy constraints
His work develops statistical frameworks to enable research access to confidential data while protecting privacy.
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