Shuang Song PhD student. Class of 2019. I am interested in statistics, statistical genetics and genomics, Bayesian methodology, polygenic risk prediction and heritability estimation.
Dongyu Li PhD student. Class of 2020. I am interested in statistics and spatial transcriptomic data analysis.
Yao Lu PhD student. Class of 2021. I am interested in heterogeneous genetic effects, represented by single cell genetics.
Zichu Fu PhD student. Class of 2021. I’m interested in developing statistical machine learning and deep learning methods to analyze biomedical datasets including CRISPR-screening, single-cell multi-omics and logitudinal data.
Qifan Zhang Research assistant since 2022. I am interested in bioinformatics and biostatistics.
Hongyi Sun PhD student. Class of 2022. I am interested in analyzing omics data, including genomics, transcriptomics, and proteomics, using statistical methods. Furthermore, I aspire to integrate machine learning techniques into statistical analysis.
Roulan Jiang PhD student. Class of 2022. I am interested in biostatistics.
Yiyin Zhang PhD student. Class of 2023. I am interested in bioinformatics and biostatistics.
Hanmin Guo Former PhD student. Graduated in 2022. Current Position: Postdoctoral scholar at Department of Psychiatry and Behavioral Sciences, Stanford University (Supervised by Prof. Wing Hung Wong and Prof. Alexander Eckehart Urban). I am interested in developing statistical and machine learning approaches to analyze complex data including genetics, gemomics, and health data.
Nayang Shan Former PhD student. Graduated in 2022. Current position: assistant professor, School of Statistics, Capital University of Economics and Business. I am interested in biostatistics, bioinformatics and single-cell RNA sequencing data analysis.
Bo Yu Former PhD student. Graduated in 2023. Current position: Postdoc at Fred Hutchinson Cancer Center. I’m interested in the genetic architecture of complex diseases and RNA structure modelling.
