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 is a widely recognized expert in applied statistics and statistical collaboration. Julia has expertise in experimental design, mixed effects modeling, uncertainty analysis, and longitudinal data analyses across many scientific domains, and training the next generation of applied statisticians. Her extensive collaborations include understanding –omics interactions, assessing feasibility of alternative therapies for individuals with chronic pain or brain injuries, connections between phishing awareness training programs and human responses, among many others.
Dr. Sharp received the Outstanding Mentor Award from the American Statistical Association (ASA) Section on Statistical Consulting in 2021. She was selected as a Fellow of the ASA in 2022 and was awarded ASA’s top honor for distinguished service, the Founder’s Award, in 2024. She has served as chair of the ASA Nominations Committee, Task Force on Meetings, many roles on the ASA Council of Chapter Governing Board, and will join the ASA Board of Directors as Vice President in 2026.