Telba Irony

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]

Telba Zalkind Irony
Born
São Paulo
NationalityBrazilian
EducationUniversity of São Paulo
Alma mater University 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

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. 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


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