undefined

Name：Qian LI

Mobile Phone: +86 15890993890

E-mail: liqian203@mails.ucas.ac.cn or liqian7@genomics.cn

Education Experience:

  1. Master of Science: University of Chinese Academy of Sciences, Beijing, China, Sep2020-July2023, Major: Bioinformatics, GPA:3.79
  2. Bachelor of Science: Henan University, Kaifeng, China, Sep2016-July2020, Major: Biology Science, GPA:3.42

Research Project Experience Single-cell and Spatial transcriptomics:

  1. Tertiary Lymphoid Structures: Studying Tertiary Lymphoid Structures cell composition, maturity mechanism and immune regulation based on single-cell and spatial transcriptomics
  2. Mouse Brain Spatial Transcriptomics Cell-Type Atlas: Constructing mouse brain spatial cell-typemap by more than two hundred slices and Exploring the development of mouse brain in different growth stage based on single-cell and spatial transcriptomics
  3. Optimal Transport: Applying optimal transport theory to find spatial differential expressed genes based on spatial transcriptomics
  4. Cross-species Organ Comparison: Researching brain evolution of amniote and organ’s evolutionin the crucial species evolution nodes based on single-cell and spatial transcriptomics

Skills:

  1. Research analysis: Single-cell transcriptomics analysis, Spatial transcriptomics analysis, Mitochondrial genome assembly
  2. Programming language: R, Python, Bash, Linux
  3. Laboratory research: Regular molecular experiments, Single-cell transcriptomics experiments, Spatial transcriptomics experiments

Academic achievements or honors:

  1. University of Chinese Academy of Sciences Graduate Scholarship
  2. 3rd Prize, Top 3%, National College Students Life Science Innovation and Entrepreneurship Competition
  3. 2nd Prize, Top 5%, "Challenge Cup" National College Student Curricular Academic Science and Technology Works Competition
  4. 3rd Prize, Top 10%, National College Students Life Science Competition
  5. Top 10%, Henan University Merit Student

Publications and patents:

1.Wang, Q., Lan, T., Li, H., Sahu, S. K., Shi, M., Zhu, Y., Han, L., Yang, S., Li, Q., Zhang, L., Deng, Z., Liu, H. & Hua, Y. Whole-genome resequencing of Chinese pangolins reveals a population structure and provides insights into their conservation. Commun Biol 5, 1–11 (2022).

2. Bai, Y., Fang, Q., Li, Q., Xie, Y., Lin J., A method for classification of tertiary lymphatic structures with combined multidimensional features, Patent Pending.

3. Bai, Y., Li, Y., Zhu, Q., Li, Q., A system for spatial transcriptomics data optimization and storage, Patent Pending.