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
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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