About me

My background is in molecular epidemiology, bioinformatics and data science and I am very interested in the application of machine learning and statistics for molecular data analysis.

Research

I am interested in the application of machine learning and statistics for the biomarkers identification and predictive model development based on large scale data. Currently, I am focusing on the analysis of mutational signatures in order to identify the patterns and build predictive models in cancer samples. Also, I am interested in other bioinformatics topics like gene fusion analysis.

Scientific Background

I received my Master's degree in bioinformatics in 2015 from the Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences (CAS), during which I identified several gene mutation signatures related to the metastasis of colon cancer based on RNA-seq data. In 2016, I started my Doctoral program which focused on the metabolomics data analysis for the risk prediction of prediabetes and type 2 diabetes at Helmholtz Zentrum Muenchen / Ludwig Maximilian University of Munich.