╭─ estrella@zurich ──────────────────────────────╮
│  role      Postdoctoral Researcher             │
│  focus     Cancer & Single-cell Metabolism     │
│  lab       University Children's Hospital, CH  │
│  alma      PhD & BSc Chemistry, Tsinghua       │
│  stack     Python · Rust · TypeScript/Vue      │
│  known for Auto_Bangumi (7.9k★), SCMeTA        │
╰────────────────────────────────────────────────╯

全自动追番工具 | Fully automated anime tracking & downloading tool

Python Docker RSS qBittorrent

A Python library for single-cell metabolism data analysis | 单细胞代谢数据分析工具

Python Single-cell Metabolism

Universal mass spectrometry file reader — fast, cross-platform, no .NET required

Rust Python Mass Spectrometry

• Pan X, Pan S, Du M, Yang J, Yao H, Zhang X, Zhang S. SCMeTA: a pipeline for single-cell metabolic analysis data processing. Bioinformatics, 40(9), btae545, 2024.
• Du M, Pan X, Peng Y, Yang J, Pan S, Cheng R, et al. A Tandem Cytometry Platform for Single-Cell Analysis of Protein and Metabolites. Analytical Chemistry, 97(13), 6962-6966, 2025.
• Yao H, Zhao H, Zhao X, Pan X, Feng J, Xu F, Zhang S, Zhang X. Label-free mass cytometry for unveiling cellular metabolic heterogeneity. Analytical Chemistry, 91(15), 9777-9783, 2019.
• Zhang XC, Zang Q, Zhao H, Ma X, Pan X, Feng J, Zhang S, Zhang R, Abliz Z, Zhang X. Combination of droplet extraction and Pico-ESI-MS allows the identification of metabolites from single cancer cells. Analytical Chemistry, 90(16), 9897-9903, 2018.

Full publication list on Google Scholar