Dana Angluin

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.

Dana Angluin
Alma materUniversity of California, Berkeley
Known for
  • L* Algorithm
  • Query learning
  • Exact learning
  • Population protocols
Scientific career
Fields
InstitutionsYale University
Thesis An Application of the Theory of Computational Complexity to the Study of Inductive Inference  (1976)
Doctoral advisorManuel Blum
Doctoral studentsEhud Shapiro
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