CV

Curriculum Vitae of Nguyễn Trương Phi — Bioinformatician specializing in NGS analysis, genomics, and computational biology.

Basics

Name Nguyễn Trương Phi
Label Bioinformatician
Email phinguyenphinguyen2000@gmail.com
Phone +84 368 098 315
Url https://Truongphi20.github.io/al-folio/
Summary Bioinformatician with strong analytical skills and experience in NGS data analysis, genomics, metagenomics, and pipeline development. Passionate about combining mathematical logic with biological applications.

Work

  • 2023.06 - 2025.04
    Bioinformatician
    KTest Viet Nam
    Analyzed NGS data and contributed to pipeline development for genome, metagenome, and transcriptome projects across healthcare, agriculture, and environmental domains. Contributed to scientific reports and conference presentations.
    • NGS data processing
    • Pipeline development
    • Genomics, metagenomics & transcriptomics
    • Scientific report contributions
  • 2021.05 - 2021.06
    Intern
    LAI PHU Beverage CO., LTD
    Graduation internship focusing on learning the production process at LAI PHU Beverage Co., LTD under the supervision of Dr. Phan Thi Huyen.

Education

  • 2018.09 - 2022.08

    Ho Chi Minh City, Vietnam

    Bachelor
    Ho Chi Minh City University of Technology
    Biotechnology
    • Genome sequencing and analysis of bacteriophages (Design Project)
    • Genome processing and analysis related to catfish disease treatment (Thesis)

Publications

Skills

Bioinformatics
NGS data analysis
Genomics
Metagenomics
Transcriptomics
Pipeline development
Data analysis
Programming
Python
C++
Cloud Computing
Linux
Cloud platforms
Mathematics
Wet Lab Skills
Basic lab techniques

Languages

Vietnamese
Native speaker
English
Intermediate

Interests

Bioinformatics
Genomics
NGS
Mathematics
Biotechnology

Projects

  • 2024.01 - 2025.01
    Imputation & Polygenic Score Analysis
    First-author project evaluating imputation and PGS accuracy of low-pass WGS and SNP arrays in diverse human populations.
    • Low-pass sequencing analysis
    • Imputation accuracy benchmarking
    • PGS evaluation across populations