个人简历👍🏼：
Dr. Fei He is an Associate Professor (tenure-track), Principal Investigator (PI), and the director of the Intelligent Brain-Computer Interface Laboratory (iBCI Lab) at the School of Biomedical Engineering, ShanghaiTech University. He earned dual bachelor’s degrees in Information Engineering and Bioinformatics from Zhejiang University, and a Ph.D. from the Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences. From 2016 to 2021, he developed ultra-flexible neural interfaces at the University of Texas at Austin and Rice University. In 2021, he founded the Brain–Computer Interface and Brain Imaging Lab at the Chinese Academy of Sciences, focusing on implantable neural electrodes and neuroimaging technologies for neuroscience research, brain disorder studies, and brain–computer interaction. He joined ShanghaiTech in 2026. To date, he has published over 60 papers in top journals including Science Advances, Nature Biomedical Engineering, Nature Communications, Biomaterials, ACS Nano, Advanced Science, and Laser & Photonics Reviews. He has delivered invited talks at 20+ international academic conferences and holds 17 pending invention patents.
研究领域🔸：
Brain-computer interface
Artificial intelligence
Biomedical imaging
Micro/nano fabrication
教学与课程：
Brain-computer interface
学术任职🧟：
Guest editor for Frontiers in Neuroscience (2025); Youth editorial board member for International Journal of Extreme Manufacturing, Exploration, and Computer Engineering; Program committee member for IJCAI (2020); Session chair at the 2nd Biomedical Photonics Conference (2023); Reviewer for 20+ journals including Biomaterials, Advanced Functional Materials, Optics Letters, and Optics Express.
代表性论文：
Chenhui Yu, Guanyi Zhu, Mingliang Xu, Fei He*, Liwei Song, Ye Tian, Yuxin Leng, Ruxin Li. “Full-span reversible space-time birefringence,” Laser & Photonics Reviews, e03213 (2026).
TF-UNet: Resolving complex speckles for single-shot reconstruction of 512×512-matrix images using a micron-sized optical fiber,” Laser & Photonics Reviews, e03025 (2026).
Mingliang Xu†, Ziyi Zhu†, Haoran Ma†, Guopei Zhou, ILIASOV ARTEM, Zhen Chen, Wei-Mong Tsang*, Jinsong Wu, Chengyu T. Li, Xiaoling Wei*, Fei He* and Ruxin Li. “Extreme manufacturing of minimally invasive intracortical neural electrodes,” International Journal of Extreme Manufacturing 8, 022009 (2026).
Hanlin Zhu†, Fei He†, Pavlo Zolotavin, Saumil Patel, Andreas S. Tolias, Lan Luan, Chong Xie. “Temporal coding carries more stable cortical visual representations than firing rate over time,” Nature Communications16, 7162 (2025).
Fei He, Colin T. Sullender, Hanlin Zhu, Michael R. Williamson, Xue Li, Zhengtuo Zhao, Theresa A. Jones, Chong Xie, Andrew K. Dunn and Lan Luan. “Multimodal mapping of neural activity and cerebral blood flow reveals long-lasting neurovascular dissociations after small-scale strokes,” Science Advances 6, eaba1933 (2020).
Zhengtuo Zhao, Hanlin Zhu, Xue Li, Liuyang Sun, Fei He, Jason E Chung, Daniel F Liu, Loren Frank, Lan Luan, Chong Xie. “Ultraflexible electrode arrays for months-long high-density electrophysiological mapping of thousands of neurons in rodents,” Nature Biomedical Engineering 7, 520 (2023).
Xueying Wang†, Mingliang Xu†, Huiran Yang†, …, Fei He*, Tiger H. Tao*, and Xiaoling Wei*. “Ultraflexible neural electrodes enabled synchronized long term dopamine detection and wide band, chronic recording deep in brain,” ACS Nano 18, 34272 (2024).
Longitudinal neural and vascular recovery following ultraflexible neural electrode implantation in aged mice,” Biomaterials 291, 121905 (2022).
Yifu Jin, Fei He, Haad Rathore, Yingchu Sun, Jia-ao Zhang, Xinyu Li, Rongkang Yin, Hanlin Zhu, Chong Xie, Lan Luan.“Longitudinal, Multimodal Tracking Reveals Lasting Neurovascular Impact of Individual Microinfarcts,”Advanced Science12, 2417003 (2025).
Roy Lycke, Robin Kim, Pavlo Zolotavin, Jon Montes, Aron Koszeghy, Esra Altun, Brian Noble, Rongkang Yin, Fei He, Nelson Totah, Chong Xie, Lan Luan. “Low-threshold, high-resolution, chronically stable intracortical microstimulation by ultraflexible electrodes,” Cell Reports 42, 112554 (2023).
Fei He, Roy Lycke, Mehran Ganji, Chong Xie and Lan Luan. “Ultraflexible neural electrodes for long-lasting intracortical recording,” iScience8, 101387 (2020).
实验室介绍👩🏻：
The Intelligent Brain-Computer Interface Laboratory (iBCI Lab) is dedicated to the development and application of ultraflexible neural electrodes, advanced neuroimaging technologies, and AI algorithms for the construction of high-performance neural interfaces. The laboratory undertakes cutting-edge research in fundamental neuroscience, bioelectronic diagnostics and therapeutics, as well as brain-computer integration and interaction. It engages in collaborations with leading universities, research institutes, hospitals, and enterprises both at home and abroad, providing ample opportunities for external exchanges. Apart from striving for breakthroughs in frontier disruptive technologies, the laboratory is actively promoting the translation of its research findings into clinical and industrial applications. For example, it is collaborating with national laboratories, Huashan Hospital, and other institutions to advance the translational application of invasive brain-computer interfaces, facilitating the interconnection and integration of silicon-based and carbon-based life systems, and propelling technological transformation and upgrading in the information industry.
