BioBin Data Science Co, Changsha, Hunan, China
The rapid advancement in technology is transforming rice breeding. While development of transgenic rice product is strictly regulated, gene editing technology is increasingly being adopted by scientists to create plant materials with desired traits such as fragrance. Large-scale genotyping technology, including SNP array and KASP/Taqman SNP assays, and whole-genome and target sequencing started to be widely applied in rice breeding program, to facilitate marker assisted selection, marker assisted backcrossing, germplasm characterization and fingerprinting. Several breeding software are available to manage the huge amount of data. Genome Selection models are being trained to predict the performance of varieties based on their genotypic data, which would greatly improve the efficiency in future rice testing and breeding.
Dr Bingbing Wang is currently the founder and Chief Executive Officer of BioBin Data Science Co. and adjunct professor of Hunan Agriculture University in Changsha, Hunan province, China. Prior to found BioBin, he worked in DuPont Pioneer in Johnston, Iowa, USA as a bioinformatics team leader and in University of Minnesota as a postdoc research associate. Bingbing Wang received his Ph.D. degree in Genetics from Iowa State University in 2005, Master’s degree in Plant Genetics and Breeding from China Agriculture University in 1999, and Bachelor degree in Agronomy from Hunan Agriculture University in 1995.
Bingbing Wang’s expertise is in the fields of Bioinformatics and Breeding data management. His research focus on plant genome assembly and annotation, alternative splicing, and breeding informatics. He has published research paper in high-ranked journals including Nature, P.N.A.S, Genome Biology, Plant Cell and Plant Physiology. In recent years, he and his team built several software pieces for breeders in China and worldwide, to integrate molecular breeding data with conventional breeding data, apply thorough data analysis, and enable data-drive breeding decisions.