Dana Angluin
Dana Angluin | |
|---|---|
| Alma mater | University of California, Berkeley (BA, PhD) |
| Known for |
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| Scientific career | |
| Fields | |
| Institutions | Yale University |
| Thesis | An Application of the Theory of Computational Complexity to the Study of Inductive Inference (1976) |
| Doctoral advisor | Manuel Blum |
| Doctoral students | Ehud Shapiro |
Dana Angluin is a professor emeritus of computer science at Yale University. She is known for foundational work in computational learning theory and distributed computing.