Bioinfo Lab

Bioinformatics Laboratory at BiUH.

Core Values: Respect, Reflection, Communication, Commitment.

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Name: ZHANG Feng (张丰)

Research field: bioinformatics, computational biology, biomedical data analysis


Education & Work experience:

  • BSc, Information Security, School of Mathmatics, Shandong University, China, 2011.09-2015.06

  • Summer School, University of California, Los Angeles, USA, 2013.08-2013.09

  • PhD, Biostatistics, School of Life Sciences, Fudan University, China, 2015.09-2020.06

  • Graduate Assistant & Visiting Scholar, Cincinnati Children’s Hospital Medical Center, USA, 2018.01-2020.01

  • Research Assistant Professor, Shanghai Jiao Tong University School of Medicine, China, 2020.10-2023.12

  • Research Associate Professor, Shanghai Jiao Tong University School of Medicine, China, 2024.01-2025.01

  • Associate Professor & Program Lead, Hainan Bielefeld University of Applied Sciences, China, 2025.02-present

  • Guest Associate Professor, Shanghai Children’s Hospital of Shanghai Jiao Tong University School of Medicine, China, 2026.03-present


Selected Papers:

Published over 30 research papers.

  • YAP-TEAD regulates the super-enhancer network to control early surface ectoderm commitment, Nucleic Acids Research, 2026.01, paper, co-corresponding author

  • Single-nucleus profiling of mouse inner ear aging uncovers cell type heterogeneity and hair cell subtype-specific age-related signatures, Cell Reports, 2025.06, paper, co-first author

  • A Novel Prognostic Signature of Mitophagy-Related E3 Ubiquitin Ligases in Breast Cancer, International Journal of Molecular Sciences, 2025.02, paper, co-corresponding author

  • Feature-weight based measurement of cancerous transcriptome using cohort-wide and sample-specific information, Cellular Oncology, 2023.10, {code, paper, full-text}, corresponding author

  • InferLoop: leveraging single-cell chromatin accessibility for the signal of chromatin loop, Briefings in Bioinformatics, 2023.05, {code, paper}, first & co-corresponding author

  • FitDevo: accurate inference of single-cell developmental potential using sample-specific gene weight, Briefings in Bioinformatics, 2022.09, {code, paper}, first & co-corresponding author

  • scMAGIC: accurately annotating single cells using two rounds of reference-based classification, Nucleic Acids Research, 2022.05, {code, paper}, co-first author

  • Unsupervised Inference of Developmental Directions for Single Cells Using VECTOR, Cell Reports, 2020.08, {code, paper}, first author

  • A novel approach to remove the batch effect of single-cell data, Cell Discovery, 2019.09, {code, paper}, first author

  • PhenoPro: a novel toolkit for assisting in the diagnosis of Mendelian disease, Bioinformatics, 2019.02, {code, paper}, co-first author

  • SPRINT: an SNP-free toolkit for identifying RNA editing sites, Bioinformatics, 2017.07, {code, paper}, first author


Bioinformatics Lab at BiUH


Bioinformatics Practice-Integrated Learning (Internship)

  • Sent over 30 BiUH students to do practice-integrated learning (internship) at various top universities and hospitals in Shanghai, Guangzhou, and Hangzhou.

  • Bioinformatics courses -> Review CV / Interview -> Offer for practice-integrated learning

  • If you are interested in the bioinformatics courses & practice-integrated learning, please contact with:

  • QIU Yuyue (CS2023): x20230006@stu.hibiuh.edu.cn

  • WU Shangjun (DT2024): x20240162@stu.hibiuh.edu.cn

  • DENG Zifeng (DT2024): x20240152@stu.hibiuh.edu.cn


BiUH DT Learning Roadmap (Latest Version)


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  • Office Room: Teaching Building B526

  • Email: feng.zhang@hibiuh.edu.cn

  • Available Office Hour: Wednesday, 12:00-20:00 (please schedule a time with me by email at least one day in advance)

  • BiUH DT Email: dt@hibiuh.edu.cn