Educational Background：

• 2007–2011：University of Sheffield, Automatic Control and Systems Engineering , Doctoral Degree (Full time)
• 2003–2005: Harbin Institute of Technology, Control Science and Engineering, , China, Masters Degree (Full time)
• 1999–2003: Hebei University of Technology, Electrical Engineering and Automation, Bachelor Degree (Full time)

Work Experience：

• 2026 – Present: Center for Language, Intelligence and Machines, Shenzhen Loop Area Institute, Assistant Professor
• 2019 – 2026: Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Young Principal Investigator (equivalent to Associate Professor)
• 2015 – 2019: Department of Biomedical Science, University of Sheffield, UK, Senior Postdoctoral Research Fellow
• 2013 – 2015: CoMPLEX, University College London (UCL), UK, 2020 Science Program Fellow
• 2010 – 2012: Department of Automatic Control and Systems Engineering, University of Sheffield, UK, Postdoctoral Research Associate
• 2010.09 – 2010.12: Okinawa Institute of Science and Technology Graduate University (OIST), Japan, Research Intern

Dr. Zhuoyi Song is an Assistant Professor and Doctoral Supervisor at Shenzhen Loop Area Institute. She holds an M.E. in Automation from Harbin Institute of Technology and a Ph.D. in Automatic Control from the University of Sheffield. Her research focuses on neural system modeling and brain-inspired AI, with current interests in fine-grained feedback mechanisms in perceptual neural networks, insect-brain-inspired autonomous navigation, and "What-Where" pathway-integrated spatial intelligence. She has led two projects funded by the National Natural Science Foundation of China and has published over 20 papers in top-tier journals including Current Biology and eLife. She welcomes outstanding students with backgrounds in Automation, Electronic Information, Computer Science, Artificial Intelligence, Mathematics, and related fields to join her research group, and is also eager to engage in in-depth research collaborations with peers.

M. Juusola#*, A. Dau, A.#, Z. Song#, et. al. “Microsaccadic sampling of moving image information provides Drosophila hyperacute vision.” eLife, 2017, 6:e26117. (SCI 1区，149-page publication, # equal contribution, DOI: https://doi.org/10.7554/eLife.26117)

B. Gu, J.F. Feng, Z. Song* “Looming detection in visual scenes by interneuronal coordination.” Advanced Intelligent Systems 2024, 6(9): 2400198 (SCI 2区, DOI: https://doi.org/10.1002/aisy.202400198)

C. Rao, W. Lin, Z. Song* “Analytical refractory period distribution for time-variant biochemical systems.” Journal of Chemical Physics, 2023, 159(12):124105  (SCI 2区, DOI: 10.1063/5.0156276).

C. Rao, W. Lin, D. Waxman, Z. Song* “Exact first-passage time distributions from time-dependent solutions of the chemical master equation. I. Nonlinear networks with bimolecular reactions and Poisson-product initial conditions.” Journal of Chemical Physics, 2025, 162(22):224104  (SCI 2区, DOI: 10.1063/5.0253020)

C. Rao, W. Lin, D. Waxman, Z. Song* “Exact first-passage time distributions from time-dependent solutions of the chemical master equation. II. Nonlinear networks with bimolecular reactions and arbitrary initial conditions.” Journal of Chemical Physics 2025, 162(22):224105  (SCI 2区, DOI: 10.1063/5.0253024)

Research Projects：

1, Hosted Projects：

• 2025.01 – 2027.12: Analytical Analysis of Refractory Period Distribution in Cell Signal Transduction Networks and Molecular Regulatory Mechanisms, General Program of the National Natural Science Foundation of China (NSFC), Grant No. 12571526, Principal Investigator
• 2021.01 – 2023.12: Construction of a “Whole-Cell Model” of Mammalian Photoreceptors and Investigation of Light-Adaptive Encoding Mechanisms, Young Scientists Program of the National Natural Science Foundation of China (NSFC), Grant No. 12001111, Principal Investigator
• 2024 – 2025: Dual-Visual-Pathway Inspired VLM, Huawei Industrial Consultancy Project, Principal Investigator
• 2019 – 2021: Insect Compound Eye Visual Simulation Systems, High-Resolution Perception Neural Encoding and Intelligent Decision-Making Mechanisms, Shanghai Pujiang Talent Program, Grant No. 19PJ1400800, Principal Investigator
• 2015 – 2016: AWS Cloud Computing Framework Grant, University College London (UCL), Principal Investigator

2, Participated Projects：

• 2020 – 2022: Efficient Design Methods for Integrated Circuits for Brain-Inspired Computing and AI Chips, International Cooperation and Exchange Program of the National Natural Science Foundation of China (NSFC), Grant No. 62011530132, Core Participant