Career Profile
Highly analytical and skilled bioinformatics analyst dealing with biology problems including translational control, lipid metabolism and tumor immunotherapy. Now, I’m a postdoctoral researcher in Wuhan University, and a bioinformatics with 9 years of experience in computational biology, intergration algorithms, and genomic datasets. Currently I am exploring statin resistance mechanisms in song lab and developing human diseases cures.
Experiences
Being a bioinformatics analyst, I collaborated with my colleagues to research in rubber project. I fininshed the re-sequencing section independently. I also used WDL and python to construct automatic pipeline in WGS and WES for cancer treatment. I was also involved in the pre-development work of the spatial transcriptome. As a lecturer of BGI College, I am also responsible for the training of college interns from WHU, HUST and HZAU in Wuhan.
- Analysis of cooperative projects
- Automatic bioinfomatic pipelines
- Training of college interns
In the department of bioinformatic in Genoimmune, my work mainly includes deep learning model building for neoantigen affinity prediction. Meanwhile, I also update the EPIP (epitope presentation integrated prediction) software.
- Building deep learning model in neoantigen affinity prediction
- Update EPIP, a machine learning software for MHC affinity prediction
Using bioinformatics and AI tech to investigate lipid metabolism in song lab.
- Building multi-omics and deep learning model in lipid and cholesterol metabolism.
- Statins resistance mechanism
Projects
The following are some of the projects I have participated in, the details are as follows:
Publications
I list some publications in this section. Described below.