Our major research interest concerns the development of statistical and machine learning methods and softwares for computational biology. I am particularly interested in complex biological data modeling, such as high-throughput genomic data, network biology, population genomics and related evolutionary problems. Currently, my research projects are mainly focus on following topics:
- computational genomics
- network biology
- population genomics
- machine learning
我们的研究主要是发展基于机器学习和统计学的计算生物学模型来理解生物复杂性，主要的研究方向如下：
- 开发和优化针对植物基因组的高质量基因组组装技术；
- 发展新的算法用于发现基因中的突变、重组、基因拷贝数变异等遗传变异；
- 发展新的模型用于RNAseq、表观遗传学、chi-seq、单分子测序数据的分析；
- 构建机器学习模型对上万种植物进行分类鉴定；
- 大规模基因组计算的云平台构建。
