Telba Zalkind Irony
Born
NationalityBrazilian
EducationUniversity of São Paulo
Alma materUniversity of California, Berkeley
Scientific career
FieldsStatistics
Operations research
InstitutionsFood and Drug Administration
ThesisModeling, Information Extraction and Decision Making a Bayesian Approach to Some Engineering Problems (1989)
Doctoral advisorRichard E. Barlow

Telba Zalkind Irony is a Brazilian statistician, operations researcher, and proponent of Bayesian statistics. She works at the Food and Drug Administration, where she was formerly chief of biostatistics at the Office of Device Evaluation[1] and is now deputy directory of biostatistics and epidemiology at the Center for Biologics Evaluation and Research.[2]

Irony was born in São Paulo, and studied physics and statistics at the University of São Paulo, earning both a bachelor's degree and master's degree there.[3] She obtained her Ph.D. in industrial engineering and operations research in 1989 from the University of California, Berkeley with a dissertation Modeling, Information Extraction and Decision Making a Bayesian Approach to Some Engineering Problems[4] supervised by Richard E. Barlow.[3] Before joining the FDA, she was part of the operations research department at George Washington University.[3]

In 2010, she became a Fellow of the American Statistical Association.[5] In 2014, she won the Excellence in Analytical Science Award of the Food and Drug Administration "for spearheading innovative regulatory science studies, culminating in the release of novel guidance documents; supporting complex policy decision-making; and changing the submission review paradigm".[6]

References

  1. ^ "Telba Irony, PhD", Speaker biography, 37th Annual Meeting of the Society for Medical Decision Making, 2015, retrieved 17 November 2017
  2. ^ "Telba Irony, FDA", Speaker biography, DIA 2017 Annual Meeting, 2017, retrieved 17 November 2017
  3. ^ a b c Author profile from Irony, T.Z.; Barlow, R.E. (March 1993), "Curiosities in choosing system components: a Bayes analysis", IEEE Transactions on Reliability, 42 (1): 128–131, doi:10.1109/24.210283
  4. ^ "Modeling, Information Extraction and Decision Making a Bayesian Approach to Some Engineering Problems", Hathitrust Digital Library, Catalog entry, 1989, retrieved 17 November 2017
  5. ^ ASA Fellows list, American Statistical Association, retrieved 15 November 2017
  6. ^ Excellence in Analytical Science 2009-Present, Food and Drug Administration, retrieved 22 November 2017