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 | |
| Nationality | Brazilian |
| Education | University of São Paulo |
| Alma mater | University of California, Berkeley |
| Scientific career | |
| Fields | Statistics Operations research |
| Institutions | Food and Drug Administration |
| Thesis | Modeling, Information Extraction and Decision Making a Bayesian Approach to Some Engineering Problems (1989) |
| Doctoral advisor | Richard 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
edit- ^ "Telba Irony, PhD", Speaker biography, 37th Annual Meeting of the Society for Medical Decision Making, 2015, retrieved 17 November 2017
- ^ "Telba Irony, FDA", Speaker biography, DIA 2017 Annual Meeting, 2017, retrieved 17 November 2017
- ^ 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
- ^ "Modeling, Information Extraction and Decision Making a Bayesian Approach to Some Engineering Problems", Hathitrust Digital Library, Catalog entry, 1989, retrieved 17 November 2017
- ^ ASA Fellows list, American Statistical Association, retrieved 15 November 2017
- ^ Excellence in Analytical Science 2009-Present, Food and Drug Administration, retrieved 22 November 2017