Google Scholar · Research code · Tools · Workflows · 中文
My interests sit at the intersection of artificial intelligence, aging biology and omics. I am interested in using computational methods to understand how biological systems change over time, and how molecular data can help us ask better questions about health and disease.
My focus includes AI for biological data, aging and immune-system changes, and single-cell and multi-omics analysis. Alongside these questions, I build research tools and reproducible workflows with R, Python and Linux, from sequencing data processing to clear scientific figures.
| Project | What you'll find |
|---|---|
| Human fetal blood atlas | Analysis code and figure data for the developing human blood immune system. |
Research and publications on Google Scholar ↗
| Tool | What it does |
|---|---|
| Biosoft · Bioseq | BAM barcode splitting, FASTQ motif counts, and gene or promoter extraction. |
| Biosoft · MiXCR Python | Research Python implementation of human V(D)J analysis, with bilingual guides and reproducible tests. |
| Project | What it does |
|---|---|
| Biosoft · Download | Research data acquisition from ENA/Aspera, Novogene and Synapse. |
| Biosoft · Codex Science | Scientific data tools, reproducible workflows and an MCP adapter for Codex. |
Scientific illustration, thoughtful reading and small tools that make everyday work smoother. I like clear questions, carefully chosen colors and the moment when a complicated result starts to make sense.
AI · Aging · Omics
Good questions. Clear evidence. Useful code.