معرفی
David Butler is a Principal Research Fellow at the School of Mathematics and Applied Statistics, University of Wollongong, Australia. His work bridges applied statistics, computational modeling, and agricultural science, focusing on statistical methodologies for plant breeding and experimental design.
- PhD in Applied Statistics (Experimental Design) from the University of Queensland.
His research interests include applied statistics, computational statistics, numerical computation, and their applications in plant breeding and agricultural science. Recent publications emphasize statistical models for genetic relatedness, QTL mapping, and software tools like dwreml and odw to enhance agricultural data analysis.
David has contributed to understanding climate variability impacts on wheat supply and developed methods for multi-phase agricultural trials. He was part of a team funded by an external grant for the Australian Grains Industry (2010–2014), aiming to improve crop yields through statistical innovations.
