Research Interests

Statistical Genetics Modelling: Quantitative genetics models for phenotype prediction and causal gene discovery.
Systems Biology Modelling: Molecular mechanisms using genome-scale metabolite networks and other biological networks.
Artificial Intelligence in Genetics: Machine learning / deep learning models for genetic architecture and environmental perturbation.
Multi-Omics Data Analysis: Integration of genomic data with intermediate molecular data to comprehensively interpret biological processes.

Education

Ph.D. in Systems Biology, Max-Planck-Institute of Molecular Plant Physiology & University of Potsdam, 2019

M.Sc. in Genetics, National Key Laboratory of Crop Genetic Improvement & Huazhong Agricultural University, 2015

B.Sc. in Biotechnology, Huazhong Agricultural University, 2012

Publications

Hao Tong, Anika Küken, Zoran Nikoloski (2020).
Integrating molecular markers into metabolic models improves genomic selection for Arabidopsis growth.                                                                                                                                                                                                                            
Nature Communications, 11:2410.