معرفی
Jerry Reiter is a Professor in the Department of Statistical Science at Duke University, where he has been since 2002. He holds the endowed Mrs. Alexander Hehmeyer Professorship and was appointed as a Bass Chair for excellence in undergraduate teaching and research. He earned a BS in Mathematics from Duke University (1992) and a Ph.D. in Statistics from Harvard University (1999), with interim work as an actuary.
His research integrates applied and methodological statistical science, emphasizing social science and public policy applications. Key methodological focuses include:
- Data confidentiality and disclosure avoidance
- Missing data imputation techniques
- Causal inference modeling
- Complex data structures
Reiter leads significant federally funded initiatives:
- Triangle Census Research Network (TCRN): NSF-funded project improving data dissemination for federal statistical agencies
- Integrated System for Accessing Large-Scale Confidential Social Science Data: Develops secure data access frameworks for sensitive social science datasets
Awards and honors:
- Alumni Distinguished Undergraduate Teaching Award (2007)
- Outstanding Postdoc Mentor Award (2016)
- Endowed Mrs. Alexander Hehmeyer Professorship
- Bass Chair recognition
He mentors postdoctoral researchers and serves as editor of Statistics and Public Policy, promoting statistical applications in policymaking.
