Dr. Hao Tong

 

 

 

 

 

Position: Postdoctoral researcher

Department: Bioinformatics and Mathematical Modelling, CPSBB

Dr. Tong’s research interests focus mainly on the mathematical modelling of statistical genetics and systems biology using multi-omics data. His innovative work is focused on integrating the network approaches, particularly genome-scale metabolite network, with the models of genetic mapping and genomic prediction by combining the linear mixed model, machine learning model and constraint-based modelling. The integrative approaches will provide a more comprehensive understanding of the molecular mechanisms of complex traits.

Selected publications:

Tong, H., Küken, A., & Nikoloski, Z. (2020). Integrating molecular markers into metabolic models improves genomic selection for Arabidopsis growth. Nature Communications, 11(1), 2410.  https://doi.org/10.1038/s41467-020-16279-5

Tong, H., & Nikoloski, Z. (2021). Machine learning approaches for crop improvement: Leveraging phenotypic and genotypic big data. Journal of Plant Physiology, 257, 153354. https://doi.org/10.1016/j.jplph.2020.153354