Rebecca C. Steorts
Duke University CS · Associate Professor of Statistical Science
Research focus: entity resolution · record linkage · Bayesian statistical machine learning · large noisy databases
保护项目 4 的预审审核：构建基于 entity resolution、record linkage、Bayesian statistical machine learning、large noisy databases、locality-sensitive hashing、reproducible ML education 的拟合图；请为其中选择一个可见于项目、一个具体的项目、一个实验室主题或一个角色信号，并说明在第一学期可以启动的一个具体扩展。
Who this advisor fits / 什么情况下适合你
- Use the role/research-fit signal, but verify advising route directly: Statistical Science primary and CS-affiliated row; verify CS advising route, Census role constraints, and statistics/CS co-advisin
- 请利用角色与研究契合信号，但务必直接核实推荐路径：统计科学主路径为 CS 关联行；CS 推荐路径需验证； Census 角色约束 ai 项；统计学 cs 与 CS 协同适配需进一步确认。
What to watch for / 什么情况下要慎重
- You need strong placement evidence, but public signals for this PI are still thin.
- 你需要强证据的毕业去向分布，而这位 PI 目前公开信号仍较薄。
Public evidence as of 2026-06-10
These are decision-support signals compiled from public evidence (faculty pages, publications, lab sites) to help you ask better questions — not a ranking, rating, or allegation about this advisor. / 以上为基于公开信息整理的择校参考，帮助你提出更好的问题，并非排名、评分或对该导师的指控。
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