I. Rearch Field: bioinformatics, genomics, AI-assisted crop breeding, smart agriculture, automation in agriculture

The group is committed to facing the frontiers in agricultural science and technology and the concerns in food security. 

By making full use of interdisciplinary knowledge and the theory of parallel systems, as well as integrating biological, big data, artificial intelligence, automation and other technologies, the group will

=> take the reconstruction of crop genomes as the starting point to carry out research,

=> explore the new methods of digital crop molecular breeding,

=> dig out and answer the major scientific questions of digital crop germplasm innovation,

=> expand the interdisplinary research field of modern breeding assisted by parallel intelligence and genomic selection,

=> develop new intelligent digital breeding technologies,

=> build new platforms for automated precision breeding, and

=> contribute to the promotion of green, ecological, and sustainable development of agriculture and to the solution of food security problems brought about by factors such as significant population growth and global climate change.

II.Research Direction

0. Big data modelling and analysis algorithm

1. Computational method development in genome research

2. Crop phenotyping using artificial intelligence and IoTs
3. Genomic prediction using foundation models