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Lisle, Christopher Mr

Research Fellow

  • Faculty of Engineering and Information Sciences
  • National Institute for Applied Statistical Research Australia

Overview


Chris Lisle did his undergraduate studies at the University of Waikato, New Zealand, completing a BSc (Hons) in Applied Statistic in 1999. He then continued his studies completing his MSc in 2002 under supervision of David Whitaker.

In 2003 he joined the then NSW Department of Agriculture (now NSW Department of Primary Industries: NSWDPI) as a Biometrician at the Agricultural Research Institute (ARI), Wagga Wagga. His career involved working closely with researchers and plant breeders in providing statistical assistance with experimental designs and analysis. In 2005, a change of scope from state based programs to national breeding was created through the ‘National Variety Testing’ (NVT) project. This was funded by the Grains and Research Development Corporation (GRDC) with the aim to create as an independent and robust system. Soon after, the national statistics project ‘Statistics for the Australian Grains Industry’ (SAGI) was created, where Chris became a founding member. As a member of a team of Biometricians across Australia he managed all work arising from GRDC projects and in particular the NVT project. In 2011, he continued his role in SAGI (SAGI II) as a Research Fellow in Biometrics at Charles Sturt University. Then in 2015, he again continued his role in SAGI (SAGI III) at the University of Wollongong, whilst undertaken PhD studies under the supervision of Alison Smith, Carole Birrell and Brian Cullis. 

Currently he is deputy director of the Centre for Biometrics and Data Science in Sustainable Primary Industries (CBADS-SPI) in the National Institute for Applied Statistics Research (NIASRA). He is the lead Biometrician in several projects including NVT and plant breeding programs. 


Research Overview


  • Linear mixed models, design of comparative experiments, analysis of multi-environment trials (METs). Current projects include developing diagnostic measures to inspect for environments within a MET dataset, inspection of varietal connectivity, computer-based simulation studies, and dissemination of complex sets of results via interactive online applications.

Selected Publications


Presentations


Research Overview


  • Linear mixed models, design of comparative experiments, analysis of multi-environment trials (METs). Current projects include developing diagnostic measures to inspect for environments within a MET dataset, inspection of varietal connectivity, computer-based simulation studies, and dissemination of complex sets of results via interactive online applications.

Selected Publications


Presentations


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