Journal of Statistical Theory and Practice is a broad-based journal that publishes original research and reviews in statistical sciences.
The Conference on Statistical Practice is an annual conference that aims to bring together statistical practitioners and data scientists who engage in the application of statistics to solve real-world problems. The conference is organized around four themes: 1) career, professional, and leadership development; 2) study design and data management; 3) implementation and analysis; and 4) effective communication. Selected authors presenting from all four themes will be invited to submit manuscripts. All submitted manuscripts will go through the usual review process followed by the journal; an invitation does not guarantee publication. Authors will be asked to upload a letter of invitation from the lead guest editor.
Submit your manuscript to this collection through the participating journal.
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Margaret "Maggie" Betz
Managing Director of The Data Mine at Purdue University in Indianapolis, is launching the Indianapolis location in fall 2024 after successfully building the program in West Lafayette for four years. In her previous role, she expanded the Corporate Partners cohort from 1 to 85+ partners and 800+ students. Leading a team in experiential learning projects, Maggie is changing how students prepare for careers in a data-driven world. Maggie holds a Master's in Biostatistics and is active in the American Statistical Association, including as the Vice Chair of the Steering Committee for the Conference on Statistical Practice. -
Emily Griffith
Associate Professor of the Practice and Associate Department Head in the Department of Statistics at North Carolina State University. She is also the Director of Analytics Consulting in the Data Science Academy. Emily has a strong record of collaborative statistical work across a broad range of disciplines, including veterinary medicine, engineering, education, and paleontology. Emily was selected as an American Statistical Association Fellow in 2023 and awarded the Outstanding Mentor Award from ASA’s Section on Statistical Consulting in 2022. She earned her Ph.D. in statistics from NC State in 2008. Emily serves on the Conference of Statisti -
Elena Khusainova
Lead Data Scientist at the Chief Data Office at AT&T since 2021, where she currently develops GenAI solutions for business applications. She has expertise in Machine Learning, AI, Big Data and Data Management. Prior to joining AT&T she received her PhD in Statistics and Data Science from Yale University in 2020, followed by her role as a Lecturer at the same department. Elena serves on the Conference of Statistical Practice Steering Committee. -
Mary J. Kwasny, ScD
professor in the Department of Preventive Medicine at Northwestern University Feinberg School of Medicine. She enjoys working within an academic medical center as an applied statistician. She teaches and collaborates with various departments and divisions, including behavioral and mental health, aging, gastroenterology, neurology, dermatology, physical rehabilitation, and health systems management. Mary serves on the Conference of Statistical Practice Committee. -
Julia Sharp
Mathematical Statistician at the National Institute of Standards and Technology. She was previously a Professor and Director of the Graybill Statistics & Data Science Laboratory in the Department of Statistics at Colorado State University. Julia is a widely recognized expert in applied statistics and statistical collaboration and was selected as a Fellow of the American Statistical Association (ASA) in 2022 and received the Outstanding Mentor Award from ASA's Section on Statistical Consulting in 2021. Among her volunteer activities, she chairs the Conference on Statistical Practice Steering Committee (2024).
