Research direction：

Computational Imaging, Intelligent Microscopy

Education and Experience：

07/2025 – Present, Assistant Professor at Department of Psychological and Cognitive Sciences, Tsinghua University

07/2023 – 06/2025, Postdoc at Department of Automation, Tsinghua University

08/2018 – 06/2023, Ph.D at Department of Automation, Tsinghua University

08/2014 – 07/2018, B.Eng at Department of Automation, Tsinghua University

Representative Publications in past 5 years (# co-first author, *corresponding author)：

1、 Jiamin Wu^#; Zhi Lu^#; Dong Jiang^#; Yuduo Guo; Hui Qiao; Yi Zhang; Tianyi Zhu; Yeyi Cai; Xu Zhang; Karl Zhanghao; Hao Xie; Tao Yan; Guoxun Zhang; Xiaoxu Li; Zheng Jiang; Xing Lin; Lu Fang; Bing Zhou; Peng Xi; Jingtao Fan*; Li Yu*; Qionghai Dai*; Iterative tomography with digital adaptive optics permits hour-long intravital observation of 3D subcellular dynamics at millisecond scale. Cell, 2021, 184, 3318-3332.

2、 Zhi Lu^#; Yu Liu^#; Manchang Jin; Xin Luo; Huanjing Yue; Zian Wang; Siqing Zuo; Yunmin Zeng; Jiaqi Fan; Yanwei Pang; Jiamin Wu*; Jingyu Yang*; Qionghai Dai*; Virtual-scanning light-field microscopy for robust snapshot high-resolution volumetric imaging. Nature Methods, 2023, 20, 735-746.

3、 Zhi Lu^#; Manchang Jin^#; Shuai Chen; Xiaoge Wang; Feihao Sun; Qi Zhang; Zhifeng Zhao; Jiamin Wu*; Jingyu Yang*; Qionghai Dai*; Physics-driven self-supervised learning for fast high-resolution robust 3D reconstruction of light-field microscopy. Nature Methods, 2025, 22, 1545-1555.

4、 Zhi Lu^#; Siqing Zuo^#; Minghui Shi^#; Jiaqi Fan; Jingyu Xie; Guihua Xiao; Li Yu*; Jiamin Wu*; Qionghai Dai*; Long-term intravital subcellular imaging with confocal scanning light-field microscopy. Nature Biotechnology, 2025, 43, 569–580.

5、 Zhi Lu; Yeyi Cai; Yixin Nie; Yuxin Yang; Jiamin Wu*; Qionghai Dai*; A practical guide to scanning light-field microscopy with digital adaptive optics. Nature Protocols, 2022, 17, 1953–1979.

Research Focus：

Although optical microscopy has evolved over centuries, it grapples with dual challenges: phototoxicity conflicting with the demand for extended and high-speed observations, alongside the contradiction between the non-uniform refractive indices and the requirement for high spatiotemporal resolution. I am committed to the interdisciplinary research with a specific focus on pioneering breakthroughs in computational imaging and intelligent microscopy. In terms of hardware, I enabled comprehensive recordings of temporal, spatial, and angular information for high-speed, high-resolution 3D microscopy including scanning light field imaging, confocal scanning light field imaging, achieving the milestone of continuous three-dimensional observation across 300,000 consecutive time frames in mammals. As a result, the international record for continuous observation was extended from minutes to an impressive 48 hours. In terms of algorithms, I developed artificial intelligence technologies to enhance the speed, resolution, and robustness of fluorescence images and videos, with contributions including super-resolution, 3D reconstruction, denoising, de-scattering, aberration removal, and motion correction through phase-space correlation modeling, achieving a 20 dB improvement in signal-to-background ratio, a 700-fold increase in computation speed, and a 120-fold reduction in memory consumption, which makes large-scale, high-fidelity data processing practical. These breakthroughs solve the long-standing challenge of dynamically tracking the high-speed behavior of immune cells in complex intravital environments, pioneering whole-brain functional studies based on membrane potential signals at single-neuron resolution. My future research will further focus on mesoscopic imaging and analysis, computational neuroscience, multimodal understanding and intelligent analysis, and AI for science.

Honors & Awards：

2025 Tsinghua Outstanding Postdoctoral Fellowship

2024 National Young Top-notch Talent Award

2024 Dimitris N. Chorafas Prize

2024 World Artificial Intelligence Conference (WAIC) Superior AI Leader

2024 World Artificial Intelligence Conference (WAIC) Youth Outstanding Paper

2023 Forbes China 30 Under 30 (Art, Science & Finance)

2023 National Postdoctoral Program for Innovative Talents

2023 Excellent Doctoral Thesis Award, Beijing City

2023 Excellent Doctoral Thesis Award, Chinese Association of Automation

2023 Excellent Doctoral Thesis Award, Chinese Institute of Electronics

2023 Valedictorian at Tsinghua University Graduate Ceremony