Computational Support

Gabriel Gesteira

Dr. Gabriel Gesteira is a postdoctoral research scholar at North Carolina State University. His current research focuses on the development of models and tools for haplotype reconstruction, QTL mapping, and genomic selection based on structured, multi-parental breeding populations, with application in the autohexaploid sweetpotato. His interests involve polyploidy, plant breeding, quantitative genetics, statistical genetics, and programming. 


Dr. Jeekin Lau

Dr. Jeekin Lau is a post-doctoral research scientist at Texas A&M University. I currently work on utilizing and comparing available genetic tools for tetraploid roses. I have experience using tetraploid SNP-array-based genotyping, genotype calling, linkage mapping, and QTL mapping for disease and horticultural traits. Jeekin will be helping attendees with the SCRI Polyploid Computing Support Group.


Maria Caraza-Harter

Dr. Maria Caraza-Harter is a post-doctoral research associate at the University of Wisconsin-Madison in the Endelman Lab. She earned a Ph.D. degree in Plant Breeding and Plant Genetics at UW-Madison studying the genetics of skin set and color in red potatoes. Her main interests are in quantitative genetics and genomic association for quality traits in tetraploid potatoes. Maria will be helping attendees at the Training Workshop for the Tools for Genomics-Assisted Breeding in Polyploids project.


Cristiane Taniguti

Dr. Cris Taniguti is a post-doctoral research scientist at Texas A&M University after graduating from the Genetics and Plant Breeding program at the "Luiz de Queiroz" College of Agriculture, University of São Paulo (ESALQ/USP). Her current work focuses on the development of algorithms and workflows to build ultra-dense linkage maps for outcrossing species. She is the current maintainer of OneMap, an R package for linkage mapping in diploid outcrossing species. Cris will be helping attendees with the SCRI Polyploid Computing Support Group.

Dr. Peter Bourke

Originally with a background in physics and pure mathematics (UCC Cork, Ireland), Dr. Peter Bourke has also trained in horticulture and permaculture design. He worked for over four years in vegetable seed production and genetic resource conservation with the Irish Seed Savers Association, Ireland. Peter gained a Master’s degree in Plant Sciences from Wageningen University & Research in the Netherlands and continued with doctoral research into polyploid quantitative genetics and mapping under the guidance of prof. dr. Richard G.F. Visser, Dr. Chris Maliepaard and Dr. Roeland E. Voorrips. He graduated in 2018 and now works as a researcher and lecturer in the Plant Breeding group in Wageningen.

Dr. Tim Millar

Dr. Tim Millar is a member of the Bioinformatics team at Plant and Food Research and a Ph.D. student at Otago University, New Zealand. His interests include statistical genetics, Bayesian statistics, and software development. His Ph.D. topic is on identifying selective sweeps in a mixed-ploidy Kiwifruit (Actinidia spp.) breeding program.

Dr. Olivia Angelin-Bonnet

Dr Olivia Angelin-Bonnet is a statistical scientist at Plant and Food Research in Palmerston North, New Zealand. Her research interests multi-omics data integration, Systems Biology, the development of visualisation tools for omics data and reproducible research. She is the developer of the sismonr and hidecan R packages.

Paul AdunolaPaul Adunola is a doctoral research student at the University of Florida in the Blueberry Breeding and Genomics Lab. His research involves leveraging on genomics, phenomics, and environmics to optimize resource allocation for blueberry fruit quality traits. He is interested in quantitative genetics, statistical genetics and plant breeding.

Gonzalo Casorzo is a plant breeding Ph.D. student at the University of Florida, working in the Blueberry Breeding and Genomics Lab under the guidance of Dr. Patricio Munoz and Dr. Felipe Ferrao. He is currently focused on developing strategies for breeding blueberries with long shelf-life and exceptional postharvest fruit quality. His work primarily involves using quantitative genetics approaches to predict various fruit quality traits along postharvest storage. Recently, he has begun working on multi-omic prediction of blueberry flavor and aroma, utilizing metabolomic, genomic, and fruit quality data. His interests include implementing novel statistical approaches in large-scale breeding programs to enhance selection accuracy and maximize genetic gain.