Julia 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.
Professional Interests
- Experiment design
- Mixed effects models
- Uncertainty analysis
- Statistical modeling and simulation
- Statistical collaboration
- Descriptive and graphical analysis
Professional Activities and Societies
- American Statistical Association
- Fellow and Member
- Meetings Task Force, Chair 2022-2023
- Nominations Committee, Chair 2023, Member 2022
- Conference on Statistical Practice, Chair 2023-2024, Member 2022-2023
- Founder's Award Committee, Member 2022, 2023
- Council of Chapters Governing Board
- Chair, 2021
- Representative to the Board of Directors, 2017-2019
- Chapter Status Committee Chair, 2018-2019
- District 5 Vice Chair, 2014-2016
- Traveling Course Committee Chair, 2014-2016
- Justice, Equity, Diversity, and Inclusion Outreach Group Chair and Founder, 2020
- Enhancing Diversity ASA Presidential Initiative Committee Chair, 2019-2020
- South Carolina Chapter President, 2011-2013