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Amanda Koepke (Fed)
Mathematical Statistician
Amanda Koepke graduated from Texas Tech University in 2008 with a B.A. in Mathematics and Statistics and a B.A. in Psychology. In 2014 she received her Ph.D. in Statistics from the University of Washington. She completed a year-long postdoctoral research fellowship at the Fred Hutchinson Cancer Research Center in Seattle before joining the Statistical Engineering Division at NIST in 2015.
Amanda's current research interests include Bayesian analysis, meta-analysis/interlaboratory studies, and spectral analysis. She is participating in the ITL Speakers Bureau: https://www.nist.gov/itl/itls-speakers-bureau-amanda-koepke
Technical Areas of Research and Consulting
- Bayesian analysis
- Statistical modeling
- Uncertainty analysis
- Markov chain Monte Carlo methods
- Consensus values
- Spectral analysis
PROFESSIONAL ACTIVITIES AND SOCIETIES
- Symposium on Data Science & Statistics Program Chair (2024), Program Chair-Elect (2023), and Co-chair of Computational Statistics track (2022)
- Featured in the American Statistical Association (ASA) magazine (2023)
- Chair of ASA Government Statistics Section (GSS) Mentoring committee (2021-2024) and member of GSS Fellows committee (2021-2023)
- Member of the CU Boulder Professional MS in Applied Mathematics Advisory Board
- ITL Employee Engagement Committee member
Awards
- NIST Bronze Medal (2023), for development and deployment of a statistical tool for experiment design and rigorous assessment of measurement uncertainty for chemical analyses.
- 2023 ITL Outstanding Technology Transfer Award, for development and deployment of a statistical tool for experiment design and rigorous assessment of measurement uncertainty for chemical analyses.
- NIST Recommendation for Recognition (2023), for transferring statistical and chemical expertise to the metrology community even though that required a computational approach not commonly used in chemistry due to its complexity, computational demands, and lack of familiarity.
- 2015 Young Investigator Award from the Statistics in Epidemiology Section of the American Statistical Association.