Jonathan Duggins

Jonathan Duggins is an Associate Teaching Professor in the Department of Statistics at North Carolina State University. He holds a Ph.D. in Statistics from Virginia Polytechnic Institute and State University (2010). His research focuses on statistics education methodologies, nonparametric analysis, and simulation-based inference. He is a co-author of Fundamentals of Programming in SAS: A Case Studies Approach, a textbook emphasizing practical SAS programming through real-world applications. Dr. Duggins has received the 2020-2021 Dr. Cavell Brownie Mentoring Award for his contributions to student development. His work spans educational program design, statistical software optimization, and agricultural student pathway analysis.

His technical expertise includes advanced SAS programming techniques such as PROC REPORT customization, attribute map creation, and web scraping. Recent research explores agricultural student enrollment patterns and publishing methodologies for technical conferences like SESUG. His applied projects include developing simulated clinical research data frameworks and optimizing data manipulation efficiency across hardware/software systems.

• Ph.D. in Statistics (2010) — Virginia Tech
• Co-developed SAS programming curriculum for higher education
• Active contributor to SESUG conference proceedings

His work bridges statistical theory with practical applications, emphasizing pedagogical innovations in technical education. Current projects include refining simulation-based teaching methods and advancing data visualization techniques in SAS environments.