- 美国密西根大学机械工程系，博士，2013 - 2018

- 香港大学机械工程系，研究助理，2012 - 2013

- 中国科学技术大学热科学和能源工程系，学士，2008 - 2012

李自达老师的科研聚焦于将微纳工程技术应用在生物医学领域，以助力基础研究和临床诊断。在科研以外，李老师喜欢摇滚音乐、美食、电影。

办公室：A2-425

个人网站：https://zidalab.github.io

- 微工程化医学检验技术POCT

- 数字核酸检测

- 单细胞分析

（1）广东省自然科学基金，面上项目，用于探究流体剪切对凝血功能影响的凝块芯片的研究， 2019.10-2022.09，主持

（2）广东省医学科学技术研究基金，青年项目，用于即时凝血功能检验的低成本小型凝块收缩计的研制，2019.07-2021.06，主持

（3）国家自然科学基金，面上项目，高效率单细胞分析微流控芯片的机理研究，2020.01-2023.12，第二参与人

#co-first authors; *co-corresponding authors.

（1）Linzhe Chen#, Jingyi Ding#, Hao Yuan, Chi Chen*, and Zida Li* (2022). deep-dLAMP: deep learning-enabled polydisperse emulsion-based digital loop-mediated isothermal amplification. Advanced Science, in press. DOI: 10.1002/advs.202105450

（2）Donghao Li#, Xinyu Liu#, Yujuan Chai#, Jieying Shan, Yihan Xie, Yong Liang, Susu Huang, Weidong Zheng, and Zida Li* (2022). Point-of-care blood coagulation assay enabled by printed circuit board-based digital microfluidics. Lab on a Chip, 22(4), 1473-0197

（3）Lanzhu Huang#, Xinyu Liu#, Yuanbin Ou, Haofan Huang, Xia Zhang, Yize Wang, Yong Liang, Xiaxia Yu, Weidong Zheng, Huisheng Zhang, and Zida Li* (2020). Micro-engineered flexural post rings for effective blood sample fencing and high throughput measurement of clot retraction force. ACS Sensors, 5(12), 3949-3955.

（4）Linzhe Chen, Guoliang Zhang, Longqi Liu*, and Zida Li* (2021). Emerging biosensing technologies for improved diagnostics of COVID-19 and future pandemics. Talanta, 225, 121986.

（5）Zida Li#,*, Feng Lin#, Shue Wang, Xufeng Xue, and Yue Shao* (2022). Single-cell sequencing to unveil the mystery of embryonic development. Advanced Biology, 6(2), 2701-0198

（6）Zida Li*, Luoquan Li, Meixiang Liao, Liqun He, and Ping Wu* (2019). Multiple splitting of droplets using multi-furcating microfluidic channels. Biomicrofluidics, 13(2), 024112.

（7）Shiyu Wang#, Yang Liu#, Yijian Li, Menghua Lv, Kai Gao, Ying He, Wenbo Wei, Yonggang Zhu, Xuan Dong, Xun Xu, Zida Li*, Longqi Liu*, and Ya Liu* (2022). High-throughput functional screening of antigen-specific T-cells based on droplet microfluidics on single-cell level. Analytical Chemistry, 94(2), 918–926.

（8）Luoquan Li#, Ping Wu#, Zhaofeng Luo, Lei Wang, Weiping Ding, Tao Wu, Jinyu Chen, Jinlong He, Ying Chen, Guibo Li, Zida Li*, and Liqun He* (2019). Dean flow assisted single cell and bead encapsulation for high performance single cell expression profiling. ACS Sensors, 4(5), 1299-1305.

（9）Yi Zheng, Xufeng Xue, Yue Shao, Sicong Wang, Sajedeh Nasr Esfahani, Zida Li, Jonathon M. Muncie, Johnathon N. Lakins, Valerie M. Weaver, Deborah L. Gumucio, and Jianping Fu (2019). Controlled modeling of human epiblast and amnion development using stem cells. Nature, 573(7774), 421-425

（10）Yuanyuan Zheng#, Xufeng Xue#, Agnes M. Resto Irizarry, Zida Li, Yue Shao, Yi Zheng, Gang Zhao*, and Jianping Fu* (2019). A patterned model for neural tube development studies by human embryonic stem cells in a biomimetic niche. Science Advances, 5(12), eaax5993, 2019.

（1）Zida Li* and Anderson Ho Cheung Shum* (2019). Nanotechnology and microfluidics for biosensing and biophysical property assessment: implications for next generation in vitro diagnostics. Nanotechnology and Microfluidics, 83-107, John Wiley & Sons, 2019.

（1）Jianping Fu, Kevin Ward, Zida Li, and Xiang Li. (2017). A microscale device for blood coagulation assay. U.S. Patent Application 62/304,385.

（2）Ho Cheung Shum, Alban Sauret, Zida Li, and Yang Song. (2013). System and method for generation of emulsions with low interfacial tension and measuring frequency of vibrations in the system. U.S. Patent Application 13/839,072.