As a PhD student my focus lies on predictive breeding in general. My research covers quantitative genetics tasks like haplotype block, structural variation-based genomic selection simulation based breeding as well as machine learning based high throughput phenotyping with 3D plant scans and multispectral data from UAVs. I´m interested in the relationship between genotype, phenotype and how this relationship can be effectivly exploited in breeding.

I am a research scientist with expertise in plant breeding and genetics. I have a Ph.D. from the University of Queensland. Later, I was Marie Sklodowska-Curie, a Post-doctoral Fellow at the Crop Science Department, Teagasc in Ireland. As a Research Scientist at Agriculture Victoria Research, I contribute to active research programs in molecular genetics and pulse crop breeding, conducting Genomic selection, GWAS, and other statistical and bioinformatics analyses.

Renu Saradadevi is a Research Associate at the University of Western Australia, working on the project "Rapid breeding for reduced cooking time and enhanced nutritional quality in common bean (Phaseolus vulgaris)," funded by the Australian Centre for International Agricultural Research (ACIAR). Her role involves coordinating research activities across six East African countries to develop an accelerated bean breeding program. The program aims to optimize bean breeding for reduced cooking time, improved micronutrients, and disease resistance. Renu completed her Master's in Agronomy from Kerala Agricultural University, India, before moving to Australia in 2011 after receiving the Endeavour Postgraduate Research Award from the Australian Government. In 2015, she obtained her Ph.D. in Crop Physiology from the University of Western Australia (UWA). Following her Ph.D., she conducted research in pre-breeding projects focusing on abiotic stress tolerance at the UWA Institute of Agriculture, before joining the ACIAR project. Sustainability is the cornerstone of Renu's research interests. Her career aim is to improve agricultural productivity without depleting natural resources. Initially, she explored sustainable weed control measures in rice and later shifted her focus to identifying traits for abiotic stress tolerance in crops. Currently, her work involves developing rapid-cooking biofortified bean varieties for East Africa, which is expected to have significant social, economic, health, and environmental impacts in the region.

Troels Wisen Mouritzen is a Ph.D. student at the Department of Molecular Biology and Genetics at Aarhus University, where he focuses on legume genetics and genomics. His academic and research activities are centered on plant molecular biology, particularly within the context of understanding and improving legume crops through genetic studies.

Valeria Paccapelo is a Principal Biostatistician with the Queensland Department of Agriculture and Fisheries who leads the Statistical Genetics team in Toowoomba. She completed her degree in Statistics and Master in Applied Statistics in Argentina, equipping her with the sound analytical skills. Valeria has dedicated over a decade to implementing state of the art statistical solutions in private and public breeding programs. Valeria’s expertise is in experimental designs, linear mixed models, genome wide association studies and genomic selection models. She has a pivotal role in use of genomic data in the Australian mungbean breeding program to gain genetic diversity insights and develop predictive models that can increase genetic gain.