Profile

Academic Profile Education, trajectory, and working habits

I am an undergraduate researcher in Biotechnology at Sichuan University. My current training sits between cancer systems biology, computational interpretation of single-cell and spatial data, and wet-lab workflows that support mechanistic follow-up.

Summary

B.S. track in the College of Life Sciences, Sept 2023 to Jun 2027.

Recipient of the National Scholarship in both 2024 and 2025.

Academic Overview

At A Glance

Research Orientation

My main interest is understanding how tumor microenvironments are organized through cell-cell communication, especially when multi-omic evidence can be integrated into interpretable regulatory narratives.

I am particularly drawn to research questions that link computational structure to experimental consequence: signaling circuits, pathway activity, functional perturbation, and the design of validation strategies.

Alongside cancer-focused analysis, I have maintained strong hands-on training in synthetic biology, cloning, protein workflows, and cell-based assay logic, which helps me approach projects with both mechanistic and practical awareness.

Education, Honors, and Training

Trajectory

Education

Sichuan University, College of Life Sciences, Biotechnology.

Sept 2023 - Jun 2027

Honors

National Scholarship (2024), National Scholarship (2025), Outstanding Student of Sichuan University.

Academic Training

Westlake University International Undergraduate Summer School, Peking University summer training, and Westlake University visiting-student experience in Jin Lab.

Jul 2025 - Jan 2026

Coursework and Research Themes

Foundation

Selected Coursework

  • Genetics (96)
  • Organic Chemistry (96)
  • Calculus (94)
  • College Chemistry (91)
  • Microbiology (91)
  • Cell Biology (90)
  • Plant Biology (91)
  • Plant Biology Experiment (98)
  • Probability and Statistics (90)
  • Biochemistry (89)

Research Themes

  • Tumor microenvironment communication networks
  • Single-cell RNA-seq and spatial transcriptomic integration
  • Regulatory-axis discovery and pathway interpretation
  • Functional perturbation and live-cell phenotyping
  • Synthetic biology with translational engineering logic

Skills Matrix

Technical Stack

Computational

  • Python, RStudio, and VS Code
  • Machine learning for biological data exploration
  • Linux bash pipelines and reproducible execution
  • Research-oriented figure and notebook workflows

Bioinformatics

  • Biopython and sequence handling
  • scRNA-seq and spatial transcriptomic analysis
  • CellChat, NicheNet, and CellPhoneDB
  • Prokka, RAST, BLAST, and protein engineering context

Wet-Lab

  • PCR, Southern blot, and Western blot
  • Plasmid assembly and homologous recombination
  • CRISPR editing and construct logic
  • Protein expression and purification

Keywords

Focus Terms

  • Computational Oncology
  • Tumor Immunology
  • Single-cell Omics
  • Spatial Transcriptomics
  • Cell-cell Communication
  • CellHub Discovery
  • Functional Perturbation
  • Synthetic Biology