My name is Runzhe Li. I am a fourth-year PhD student at Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health. I am very fortunate to be co-advised by Prof. Hongkai Ji and Prof. Ni Zhao. I also worked closely with collaborators from Johns Hopkins Bloomberg~Kimmel Institute for Cancer Immunotherapy.
I received my Bachelor degree from Department of Mathematical Sciences, Tsinghua University in July 2018, specialized in Probabilty and Statistics. I worked with Prof. Xuegong Zhang on biomedical NLP projects, and completed my undergrad thesis with Prof. Sheng Yu.
My PhD research focuses on developing
- Machine learning/statistical methods and computational infrastructure to integrate and analyze multi-study and multi-sample single-cell RNA-seq data.
- Kernel regression framework and novel association tests for integrative analysis of multiple microbiome studies. Quantile regression for differential abundance analysis in microbiome data.
- Deep learning for large-scale and complex biomedical data, e.g. imaging and single-cell RNA-seq data.
Apart from my PhD research, I am also interested in the following topics:
- Causal inference and experimentation, e.g. AB test, quasi-experimentation etc.
- Financial econometrics, cryptocurrency, option trading etc.