Associate Research Fellow at the Institute of Automation, Chinese Academy of Sciences, member of the Intelligent Health and Bioinformatics Committee of the Chinese Association of Automation, and Youth Editorial Board Member of the Journal of System Simulation. He has been engaged in research on intelligent analysis technology for microstructural features in electron microscopy images for many years, publishing over 20 high-quality papers in the field, obtaining more than 10 national patents, and registering over 20 software copyrights. He led the development of a massive data management and intelligent analysis system that effectively addresses challenges such as PB-level data management and the efficiency bottleneck of manual verification during the reconstruction of synaptic-level neural structures in large volumes. This ensures that the research platform can stably and efficiently obtain precise and accurate microscopic brain connectivity maps for various model animals and functional brain regions.

Massive data management and distributed computing, large-scale neural network analysis

1. 2022ZD0211902, Brain Cognition and Molecular Cell Atlas Platform Research, Participating Unit Project Leader, August 2022 to July 2027, 2.5 million RMB

2. E1J5040401, Brain-Mind Technology Industry Transformation in Huairou Science City, 2035 Innovation Task of the Chinese Academy of Sciences Innovation Institute of Artificial Intelligence, Subtask Leader, January 2021 to December 2023, 3 million RMB

3. E3J1230101, Functional Development of Large-Field Virus Detection Technology Based on Transmission Electron Microscopy, Instrument Function Development and Technological Innovation Project of the Chinese Academy of Sciences, Project Leader, September 2020 to September 2023, 300 thousand RMB

4. E1F3230101, Research on High-Throughput Brain Connectivity Map Parsing at the Nanoscale Based on Deep Learning, General Program of the National Natural Science Foundation of China, Key Member of the Project, January 2022 to December 2025, 621.2 thousand RMB

5. Y8SA034L32, New Technology Research on Brain Microscopic Atlas, Task/Strategic Priority Science and Technology Special Project (Class B) of the Chinese Academy of Sciences, Key Member of the Project, January 2018 to December 2022, 8.98 million RMB

6. E0G1230201, Development and Commercial Application of High-Throughput Technology System for Brain Microscopic Atlas, Provincial-Ministerial Level Project, Beijing Brain Science Research Project of the Beijing Science and Technology Commission, Subtask Leader, September 2020 to December 2022, 4.5 million RMB

1. Dong G, Zhao J, Shen L, et al. Large-area and highly uniform carbon nanotube film for high-performance thin film transistors[J]. Nano Research, 2018, 11: 4356-4367.

2. Zhao J, Shen L, Liu F, et al. Quality metrology of carbon nanotube thin films and its application for carbon nanotube-based electronics[J]. Nano Research, 2020, 13: 1749-1755.Zhou F, Shen L, Chen B, et al. Human attention‐inspired volume reconstruction method on serial section electron microscopy images[J]. Cytometry Part A, 2021, 99(6): 575-585.

3. Yuan J, Zhang J, Shen L, et al. Massive data management and sharing module for connectome reconstruction[J]. Brain Sciences, 2020, 10(5): 314.

4. Ma C, Shen L, Deng H, et al. Synaptic clef segmentation method based on fractal dimension for ATUM-SEM image of mouse cortex[J]. International Journal of Wavelets, Multiresolution and Information Processing, 2022, 20(01): 2150038.

5. Shen L, Ma C, Luo J, et al. An Automatic Classification Pipeline for the Complex Synaptic Structure Based on Deep Learning[J]. Journal of Systems Science and Complexity, 2022, 35(4): 1398-1414.

6. Hong B, Liu J, Zhai H, et al. Joint reconstruction of neuron and ultrastructure via connectivity consensus in electron microscope volumes[J]. BMC bioinformatics, 2022, 23(1): 453.