cv
This is my resume!
Basics
| Name | Litian Han |
| Label | Scientist |
| GilbertHan1011@gmail.com | |
| Url | https://GilbertHan1011.github.io/ |
| Summary | I’m a postgraduate student in the field of stomatology. I have strong background in programming, bioinformatics, and biology. I’m intereted in using data and statistics way to solving bilogical problems. |
Education
Publications
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2024.10.07 Trajectory-centric framework TrajAtlas reveals multi-scale differentiation heterogeneity among cells, genes, and gene module in osteogenesis
Plos Genetics
I developed a framework for single-cell data analysis, focusing on trajectory. Utilizing multiple novel algorithms, it enables the exploration of multi-scale heterogeneity during differentiation across large-scale atlases. Applied in the field of bone development, it identifies four pathways towards osteogenesis and related gene and gene module dynamics.
Skills
| Programming | |
| R (Excellent) | |
| Python (Excellent) | |
| bash (Excellent) | |
| LATEX (If-need-be) | |
| MYSQL (If-need-be) | |
| JAVA (Beginner) |
| Research | |
| Genetics | |
| Bioinformatics | |
| Development |
| Statistics | |
| Bayes | |
| Linear regression | |
| Machine learning |
| Communication | |
| Effective Data Visualisation | |
| Academic Writing | |
| Shiny | |
| Presentations | |
| Reproducibility |
Languages
| Chinese | |
| Native speaker |
| English | |
| Fluent |
Interests
| Reading | |
| Social Science | |
| Sci-Fi | |
| Popular science | |
| Non-Fiction | |
| Go to my library |
Projects
- 2022.02 - 2024.10
TrajAtlas
This is my inaugural project focusing on single-cell RNA sequencing and development. While it may not be perfect, I believe it reflects my evolving thoughts on data, genomics, and biology, marking a promising beginning.
- Single-cell RNAseq
- Bioinfomatics
- Bone Development
- 2024.09 - Present
LinkSet
Recently, I’m working on integrating epigenomic data and single-cell data to identify long-distance enhancers. During this process, I discovered a gap in existing datastructures for managing promoter-enhancer interactions. To address this, I developed a lightweight yet powerful R package designed to efficiently handle all aspects of enhancer-gene regulation.
- Bioinfomatics
- Genetics