Chris Lisle is the Biometrician for InterGrain where he leads the development and implementation of statistical methodology to InterGrain’s breeding programs.
Chris joined InterGrain in 2022 after spending 20 years as a statistical consultant for the Australian grains industry. He comes with a wealth of experience and application in the areas of linear mixed models, experimental design, big data management, and R programming. In particular, he is a world leading expert in the analysis of multi-environment trial (MET) analyses and the dissemination of their results. Recently, he has submitted his PhD thesis which provides statistical methodology and procedures for information-based diagnostics for the optimal construction of MET datasets, and was the recent joint winner of the 23rd Annual JB Douglas Postgraduate Award for his research.
