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Yu-Feng Huang
Team lead
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Yu-Feng Huang

Team lead
Bioinformatics scientist with a machine learning background and 20+ years of experience in computational biology, including 10+ years in NGS data analysis. Specialized in data-driven discovery for genomics and precision medicine. Led the transformation of legacy workflows into scalable, production-grade Nextflow pipelines at ACT Genomics.
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ACT Genomics 行動基因
National Taiwan University
台北市, 台灣
Taiwan

Featured Resume

Uploaded on May 18th 2025

Professional Background

  • Current Status
    Employed
  • Profession
    Machine Learning Engineer
    Software Engineer
  • Fields
    Medical Practice
    Software
  • Work Experience
    4-6 years (10-15 years relevant)
  • Management
    I've had experience in managing 10-15 people
  • Skills
    Python
    Perl
    C
    R
    Linux Shell
    Algorithm Design
    Algorithm Development
    Software Development Life Cycle
    JIRA Project Management
    Git Version Control
    Docker
  • Languages
    English
    Intermediate
    Chinese
    Native or Bilingual
  • Highest Level of Education
    Doctoral

Job Search Preferences

  • Current Status
    Open to opportunities
  • Desired Job Type
    Full-time
    Interested in working remotely
  • Desired Positions
    AI工程師、機器學習工程師、深度學習工程師、資料科學家、Machine Learning Engineer、Deep Learning Engineer、Data Scientist
  • Desired Work Locations
    Hong Kong S.A.R
    Japan
    Republic of Singapore
    Taiwan
  • Freelance
    Non-freelancer

Work Experience

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Team lead, Bioinformatics Development Department

Sep 2024 - Present
Taipei City, Taiwan
- Managed and mentored a bioinformatics team (3 members), responsible for developing and optimizing production-level NGS data analysis pipelines. - Implemented modular pipeline architectures, ensuring scalability and seamless cross-departmental collaboration with quality assurance, assay design, and operations.
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Scientific Journal Reviewer

Jan 2011 - Present
Journal Reviewer | Peer-reviewed articles for leading scientific journals: - Welcome Open Research (2024) - Frontiers in Genetics (2023) - Genes and Genomics (2017) - Evolutionary Bioinformatics (2014–2017) - Cancer Informatics (2014–2017) - Briefings in Bioinformatics (2011–2013) - Special issue of BMC Bioinformatics (ISBRA, 2011)
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Innovation Project Lead

May 2024 - Aug 2024
4 mos
Neihu District, Taipei City, Taiwan
- Spearheaded innovative bioinformatics research and product development initiatives, bridging R&D activities with clinical assay design and implementation. - Developed prototype pipelines and validated novel concepts to enable seamless transition into regulated clinical environments.
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Associate Director, Bioinformatics Division

Aug 2023 - Apr 2024
9 mos
Neihu District, Taipei City, Taiwan
Bioinformatics Division - Pipeline Innovation: Directed the design, development, and maintenance of bioinformatics pipelines in close collaboration with assay development teams, supporting both new product innovations and ongoing workflow enhancements. - Operational Oversight: Managed pipeline operations within a clinical production environment, ensuring reliable performance, rapid troubleshooting, and effective responses to unexpected issues. - Quality & Compliance: Led software quality engineering initiatives, ensuring comprehensive IQ/OQ/PQ validations were performed on all bioinformatics pipelines to meet rigorous regulatory and clinical standards.
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Manager, Bioinformatics Innovation Department

Sep 2022 - Aug 2023
1 yr 0 mos
Neihu District, Taipei City, Taiwan
- Supervised a team of 8 engineers in NGS pipeline R&D and integration with assay biology. - Acted as liaison between bioinformatics and wet-lab teams to align data workflows with experimental design. - Led algorithm development and Nextflow/Kubernetes-based pipeline deployment. - Completed full refactoring of legacy pipelines into modular Nextflow workflows on Kubernetes.
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Department Manager, Applied AI and Bioinformatics Department

Jul 2022 - Aug 2022
2 mos
Neihu District, Taipei City, Taiwan
- Led cross-functional teams in algorithm and pipeline development within a hybrid cloud environment. - Developed NGS workflows emphasizing RNA fusion detection, machine learning-based analytics, and real-time deployment on scalable infrastructure.
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Senior Bioinformatics Engineer, Bioinformatics and Artificial Intellgence Division

Jul 2021 - Jun 2022
1 yr 0 mos
Taipei City, Taiwan
- Designed and implemented fusion detection pipelines using Shell, Nextflow, and Kubernetes frameworks. - Contributed to AI/NLP-based algorithm development and integrated CI/CD workflows using Bitbucket and Docker.

Postdoctoral Researcher

Feb 2021 - Jun 2021
5 mos
New Taipei, Taiwan
- Moved from Academia Sinica to Top Science Biotech, translating academic NGS expertise into product-driven bioinformatics solutions. - Led pipeline development efforts with a focus on clinical utility, scalability, and alignment with commercial goals.

Postdoctoral Fellow

Oct 2011 - Jan 2021
9 yrs 4 mos
Taiwan
I am now a postdoctoral fellow at Genomics Research Center, Academia Sinica. Currently, I focus on the design of transcriptome analysis pipeline and next-generation sequencing data analysis. Research interests: - DNA/RNA sequencing (DNA-Seq/RNA-Seq/ChIP-Seq/Metegenomics sequencing) - Genome assembly, gene annotation, comparative analysis - genome, mitogenome - Sample type: tissue (normal/tumor), white blood cell, plasma (DNA/RNA/ctDNA) - hands-on experience on sequencing data analysis: SOLiD 5500, Roche 454 GS Junior; Illumina MiSeq, NextSeq 500, HiSeq 2000/4000/XTen; Oxford Nanopore Technology MinION

System Administrator

Jun 2006 - Jul 2011
5 yrs 2 mos
System administrator of Core Facility, Center for Systems Biology & Bioinformatics,

Adjunct Lecturer

Sep 2008 - Jun 2009
10 mos
Taiwan
Teaching course: data structure, information security

Full‐Time Teaching Assistant

Aug 2004 - Jul 2006
2 yrs 0 mos
Taipei City, Taiwan
Server Maintenance General affairs

Adjunct Lecturer

Sep 2002 - Feb 2004
1 yr 6 mos
Course: computer architecture

Education

Computer Science
2003 - 2010
Master’s Degree
Computer Science
1999 - 2001
Computer Science
1995 - 1999