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  • 办公地址：

    209, Wang Kezhen Building, Peking University

  • 电子邮箱：

    lei.ma@pku.edu.cn

  • 个人网页：

    maleilab.cn

MA Lei

  • Principal Investigator, Assistant Professor
    National Biomedical Imaging Center, Peking University
  • Director of Platform IV, Multimodal Trans-scale Biomedical Imaging Facility
    Deputy Director, Department of Big Data and Biomedical AI, Peking University
    Director, Digital Life Simulation Lab
  • 个人简介
    Dr. Lei Ma is a principal investigator at the National Biomedical Imaging Center, Peking University. His research lies at the intersection of artificial intelligence and life sciences, with a particular focus on Digital Life—the construction of executable and verifiable computational models of biological systems across scales. Before joining Peking University, Dr. Ma worked at Autodesk Research, where he contributed to the development of core industrial software engines. In 2019, he founded the Life Simulation Research Center at Beijing Academy of Artificial Intelligence, leading efforts in digital organism modeling.
    He has published extensively in leading journals, including Nature Computational Science (Cover), Cell Research (Cover), Nature Communications, and National Science Review. His work aims to advance a shift from predictive AI for biology toward reconstructive models of living systems—systems that can generate, simulate, and explain biological function through structure and interaction. He is a recipient of the Beijing Outstanding Youth Fund, and has been recognized as a BAAI Scholar, Berggruen Fellow, and Bayer Investigator.
    Research Directions
    • Executable digital life models integrating brain–body–environment interactions
    • Multi-scale biological system modeling and digital organ construction
    • AI-driven integration of multimodal biomedical imaging data
    • Large-scale neural simulation and computational neuroscience platforms
  • 所授课程
    Biomedical Data Visualization (Graduate Course)
    Introduction to Digital Life (Undergraduate Course)
  • 个人履历
    2022–Present
    Principal Investigator, National Biomedical Imaging Center, Peking University
    2021–Present
    Director of Platform IV, Multimodal Trans-scale Biomedical Imaging Facility
    2019–2025
    Founder / Former Deputy Director, Life Simulation Research Center, Beijing Academy of Artificial Intelligence (BAAI)
    2020–2022
    Associate Research Professor, College of Computer Science, Peking University
    2013–2019
    PhD, Chinese Academy of Sciences
    2016–2017
    Visiting Scholar, The Chinese University of Hong Kong
    2012–2014
    R&D Director / CTO, Shitu Digital Technology Co., Ltd.
    2010–2012
    Graphics Engineer, Autodesk Research
    2007–2010
    M.S., Shanghai Jiao Tong University
    2003–2007
    B.Eng., Zhejiang University
  • 代表性论文及论著
    1. Learn to Enhance Sparse Spike Streams.
    Liwen Hu, Yijia Guo, Mianzhi Liu, Yiming Fan, Rui Ma, Shengbo Chen, Lei Ma*, Tiejun Huang;
    IEEE Transactions on Pattern Analysis and Machine Intelligence,2026
    2. An integrative data-driven model simulating C. elegans brain, body and environment interactions.
    Mengdi Zhao#, Ning Wang#, Xinrui Jiang, Xiaoyang Ma, Haixin Ma, Gan He, Kai Du, Lei Ma*, Tiejun Huang.
    Nature Computational Science, 2024. Cover Story
    3. System-level time computation and representation in the suprachiasmatic nucleus revealed by large-scale calcium imaging and machine learning.
    Zichen Wang, Jing Yu, Muyue Zhai, Zehua Wang, Kaiwen Sheng, Yu Zhu, Tianyu Wang, Mianzhi Liu, Lu Wang, Miao Yan, Jue Zhang, Ying Xu, Xianhua Wang, Lei Ma*, Wei Hu*, Heping Cheng*.
    Cell Research, 2024. Cover Story
    4. A GPU-based computational framework that bridges Neuron simulation and Artificial Intelligence.
    Yichen Zhang#, Gan He#, Lei Ma#, Xiaofei Liu, JJ Johannes Hjorth, Alexander Kozlov, Yutao He, Shenjian Zhang, Jeanette Hellgren Kotaleski, Yonghong Tian, Sten Grillner, Kai Du*, Tiejun Huang.
    Nature Communications, 2023.
    5. An initiative on digital nephrology: the Kidney Imageomics Project.
    Fangxu Zhou, Zehua Li, Haifeng Li, Yao Lu, Linjia Cheng, Ying Zhang, Zichen Wang, Jing Nie, Heping Cheng, Bin Dong*, Lei Ma*, Li Yang*.
    National Science Review, 2025.
    6. Embedded prompt tuning: Towards enhanced calibration of pretrained models for medical images.
    Wenqiang Zu#, Shenghao Xie#, Qing Zhao#, Guoqi Li, Lei Ma*.
    Medical Image Analysis, 2024.
    7. Coherent chord computation and cross ratio for accurate ellipse detection.
    Mingyang Zhao, Xiaohong Jia∗, Lei Ma∗, Li-Ming Hu, Dong-Ming Yan
    Pattern Recognition, 2024.
    8. Accurate registration of cross-modality geometry via consistent clustering.
    Mingyang Zhao, Xiaoshui Huang, Jingen Jiang, Luntian Mou, Dong-Ming Yan*, Lei Ma*.
    IEEE Transactions on Visualization and Computer Graphics, 2023.
    9. GraphReg: Dynamical point cloud registration with geometry-aware graph signal processing.
    Mingyang Zhao, Lei Ma*, Xiaohong Jia, Dong-Ming Yan*, Tiejun Huang.
    IEEE Transactions on Image Processing, 2022.
    10. Structure inference of networked system with the synergy of deep residual network and fully connected layer network.
    Keke Huang, Shuo Li, Wenfeng Deng, Zhaofei Yu, Lei Ma*.
    Neural Networks, 2022.