Julia L. Sharp

NISS Position: 
Appointed to the Board of Trustees and Member of the NISS Corporation by the Western North American Region of The International Biometric Society (WNAR)
NISS Term Expiration: 
2027 Jun 30
Organization: 
National Institute of Standards and Technology (NIST)
Professional Title: 
Mathematical Statistician, Applied and Computational Statistics Group

Julia Lynn Sharp is a Mathematical Statistician at the National Institute of Standards and Technology (NIST) in the Statistical Engineering Division (SED). Julia earned her B.S. in Mathematics from the University of Evansville in 1998 and then served as an AmeriCorps volunteer for one year. She earned her M.S. (2001) and Ph.D. in Statistics (2007) from Montana State University. Julia was on the faculty at Clemson University for more than nine years before moving to Colorado State University where she was a Full Professor and Director of the Graybill Statistics & Data Science Laboratory. Julia joined NIST SED in 2023. Julia has expertise in experimental design, mixed effects modeling, uncertainty analysis, and longitudinal data analyses across many scientific domains, as well as statistical collaboration and training the next generation of applied statisticians. 

Sharp is also a member of the Human Subjects Review Board for the United States Environmental Protection Agency since 2019, and has worked with the American Statistical Association to develop a set of educational videos on statistical collaborations in the sciences. She has held many leadership positions within the American Statistical Association, including chairing its Justice, Equity, Diversity, and Inclusion Outreach Group in 2020. Sharp was the 2021 recipient of the Outstanding Mentor Award of the Statistical Consulting Section of the American Statistical Association.[5] She was named a Fellow of the American Statistical Association in 2022 "for excellent and sustained collaboration that advances the development and practice of statistics; for exceptional mentoring and teaching of statisticians and researchers using statistical methods; and for unparalleled service to the ASA and profession". 

As a participant in the NCCC170 project, coordinating research in agricultural statistics, she was a recipient of the 2021 American Society of Agronomy Presidential Award, presented to "all of the NCCC-170 and Experiment Station Statisticians".