Hailu Zhou

Master's student in Developmental Biology · Hunan Normal University · Changsha, China · 202420142889@hunnu.edu.cn

Education

B.S. in Biological Sciences · College of Life Sciences, Hunan Normal University · Changsha, China
Sep 2020 – Jun 2024
GPA: 4.0/4.0  |  Ranking: Top 8% (13/165) in the major
Honors & Scholarships
  • 2020–2021: Tenglong College Student Inspirational Scholarship; University Second-Class Comprehensive Scholarship; University Merit Student
  • 2021–2022: National Inspirational Scholarship; University Second-Class Comprehensive Scholarship; University Merit Student
  • 2022–2023: University Second-Class Comprehensive Scholarship; University Merit Student
Also currently enrolled as an M.Sc. student in Developmental Biology at the College of Life Sciences, Hunan Normal University (2024 – present).

Technical Skills

Bioinformatics & Omics Analysis
  • Programming: Proficient in R; working knowledge of Python, MATLAB, MySQL, Linux, and C.
  • Analytical Pipelines: GWAS, Microarrays, RNA-seq, scRNA-seq, WGCNA, meta-analysis, tumor prognosis.
  • Data & Databases: Public biomedical databases, multi-omics data mining.
  • Additional: Mathematical modeling, foundational machine learning.

Research Experience

Institute of Genetics, Chinese Academy of Sciences – Beijing Children's Hospital Joint Laboratory
Jul 2022 – Dec 2023
Research Intern · Dr. Peng Zhang's Lab
  • Developed expertise in single-cell transcriptomics, network meta-analysis, tumor prognosis, and metagenomic analysis.
  • Contributed to database design for the "Single-Cell Tumor Immune Atlas of T Cells".
  • Independently led multiple projects, including a meta-analysis on pharmacological treatments for COVID-19 sequelae and a machine-learning predictive model for laryngeal cancer.
University Innovation Training Program (Province-Level)
2022 – 2024
Project Member · supervised by Assoc. Prof. Wei Peng
  • Project: Construction of Female-Specific Lethal Strains in Drosophila suzukii Based on Gene Drive Technology.
  • Gained hands-on experience in RNA interference (RNAi), CRISPR/Cas9 genome editing, and Western blotting.
Project-Based Course — Big Omics Data Analysis via Bioinformatics Methods
2021 – 2022
Supervised by Assoc. Prof. Xiaochao Qu
  • Acquired bioinformatics skills including transcriptomics analysis and WGCNA.
  • Completed a research report on the dual-disease association between lung cancer and COVID-19.
16th China College Computer Design Competition (National Level)
Apr 2023 – Jul 2023
Second Author · supervised by Prof. Ying Wang
  • Work: "Kangxiangxin — Big Data-Assisted Prediction, Diagnosis, and Treatment of Non-Small Cell Lung Cancer (NSCLC)".
  • Awarded Second Prize, National Level, 2023 (16th edition).