I am currently a PhD student in the School of Life Sciences at Tsinghua University, working on LLM post-training and agent development, with a focus on AI for biomedical research. Feel free to reach out via email at zhuj21@mails.tsinghua.edu.cn for potential academic collaborations.

Previously, I earned my bachelor’s degree from the School of Life Sciences and Technology at Tongji University. During my undergraduate studies, I was advised by Dr. Qi Liu in the Department of Bioinformatics.

News

  • 2026.03  🚀 Our paper Bridging genetic and chemical screens from molecular representation to phenotype modeling accepted in principle at Cell 🎉
  • 2025.10  🚀 Our paper “Cell Decoder: decoding cell identity with multi-scale explainable deep learning” has been accepted at Genome Biology 🎉
  • 2024.12:  🚀 Our Paper “DUSTED: Dual-attention Enhanced Spatial Transcriptomics Denoiser” has been accepted by AAAI-2025 and selected as Oral pre.

Publications

  • DUSTED: Dual-attention Enhanced Spatial Transcriptomics Denoiser
    Jun Zhu#,*, Yifu Li#, Zhenchao Tang#, et al.
    Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2025 (Oral)

  • Cell Decoder: Decoding cell identity with multi-scale explainable deep learning
    Jun Zhu#, Zeyang Zhang#, Yujia Xiang#, et al.
    Genome Biology, 2025

  • Bridging genetic and chemical screens from molecular representation to phenotype modeling
    Yiming Li, Min Zeng, Jun Zhu, Linjing Liu, Fang Wang, Longkai Huang, Fan Yang, Min Li*, Jianhua Yao*
    Cell, 2026 (Accepted in Principle)

Honors and Awards

  • 2025.09 National Scholarship (Top 1%), Tsinghua university
  • 2023.02 MICOS (THE MAMMOTH INTERNATIONAL CONTEST ON OMICS SCIENCES), First Award
  • 2021.12 iGEM 2021, Best Software & Gold Medal, Team advisor.
  • 2021.06 Outstanding Graduates of Shanghai (Top 1%)
  • 2020.11 iGEM 2020, Gold Medal, Team leader.
  • 2019.10,2020.10 National Scholarship (Top 1%)
  • 2016.09 National Bronze, China National Biology Olympiad. (Ranked 12th in Sichuan Province)

Educations

  • 2021.09-now, PhD, Tsinghua University, Beijing.
  • 2017.09-2021.06, Undergraduate, Tongji Univeristy, Shanghai.

Invited Talks

  • 2025.02, Oral Presentation, AAAI Conference on Artificial Intelligence (AAAI-2025). (Philadelphia, USA)
  • 2024.09, Oral Pre, BENZON SYMPOSIUM No. 68 INTEGRATION OF MASS SPECTROMETRY-BASED PROTEOMICS AND AI TO REVOLUTIONIZE PERSONALIZED MEDICINE. (Copenhagen, Denmark)
  • 2023.11, The Fifth Chemical Biology Graduate Forum, Peking University.(Beijing, China)

Internships

  • 2024.05-Now, AI4Science Research Intern; Tencent, AI Lab, Shenzhen.
  • 2021.04-2021.08, AI4Science Machine Learning Research Intern; Baidu, NLP group, Shanghai.
    ·Tumor typing using Omics data based on graph neural network
    ·Development of nearly one million sample clustering algorithms