Ph.D. Student

PhD candidate in Biomedical Engineering at the School of Medicine, Tsinghua University.

Member of Complex Network Intelligence Center, Tsinghua Laboratory of Brain and Intelligence

Email: wuy50271@gmail.com

My research focuses on machine learning, network science, quantum computing, and neuromorphic computing, as well as the application of related technologies in life sciences, biomedical engineering, and neuroscience. I also examine the similarities and differences between these technologies and the computational processes in the human brain.

The research is centered around developing low time complexity systems and algorithms for the relevant technologies and applications while maintaining their performance and features. In the current context of rapid growth in computing resources, there is still a need for research in low time complexity systems and algorithms. On one hand, miniaturized edge computing devices and biocompatible in-vivo sensors face limitations in computational resources and strict real-time requirements, demanding low time-complexity in technological approaches. On the other hand, training algorithms on massively large datasets remains a time-consuming and energy-intensive process. Exploring how to leverage quantum computing and neuromorphic computing for fast training and deployment of high-performance algorithms is a worthwhile research question.