Postdocs

zengqiang36@sjtu.edu.cn

 Dr.Qiang Zeng got his master degree in biomedical engineering in Sun Yat-Sen University. His expertise is in exosome-based drug delivery. He is developing iPM-based biosensors for multiplexed molecular detection.

Ph.D students

  Chen Wang got his bachelor’s degree of engineering in Shanghai Jiao Tong University. Based on his background of biomedical engineering, He is now developing the single molecule sensing technology.

 Cheng Zhang got his master degree in the University of Shanghai for Science and Technology. His expertise is optics engineering. He is developing super-resolution imaging technology.

 Zhuoyin Liu got his Master's degree from the School of Biomedical Engineering at Sun Yat-sen University. His current research primarily focuses on in vitro detection of low-abundance proteins.

 Yue Qiu received the B.S. degree from Shanghai Jiao Tong University. Her research interests include biomarker detection and molecular interaction analysis based on the Goos–Hänchen shift.

 Yifei Zhang received the B.S. degree in optoelectronic information science and engineering from Huazhong University of Science and Technology, Wuhan, China, in 2024. He is currently developing super-resolution imaging technology and ultra-sensitive SPR biosensor.

 Zheng Weiqiang got his B.E. degree from Tianjin University . He is currently doing research on lensless imaging technology.

 GuanZheng Wang got his Master's degree in Clinical Laboratory Diagnostics from Shanghai Jiao Tong University. His current research focuses on organoid culture technology and its clinical applications.

Master students

 Gongzhi Yan got his B.E. degree from Shanghai Jiaotong University. He is working on the online imaging analysis software for lensless systems .

 Enhui Zhang got her B.E. degree in Automation Engineering from Donghua University. Her current research focuses on lensless imaging technologies and its applications.

Xingyu Yan got his B.E. degree in Automation Engineering from WuHan University. His current research focuses on DeepLearning-Denoising technologies and its applications.