Di Wu got his B.S. degree from the Department of Computer Science, Harbin Institute of Technology. After graduation, Di went to Boston University where he received his M.S in Electrical and Computer Engineering. Di also worked as machine learning engineer at a BCI startup company based in Boston. Currently, Di is a Ph.D. candidate in the Center of Excellence in Biomedical Research on Advanced Integrated-on-chips Neurotechnologies (CenBRAIN Neurotech) under supervision of Prof. Sawan. Then, he obtained his Ph.D. degree from Westlake University / Zhejiang University in 2025.    

His primary focus at CenBRAIN Labs lies in the domain of brain-machine interface (BCI) associated with deep learning, including self-supervised pre-training, representation learning, and transfer learning. Additionally, he is actively involved in research on neuro-prosthetics, particularly in areas such as forearm prosthetics, speech prosthetics, and visual prosthetics.

[1] Wu, Di, Jie Yang, and Mohamad Sawan. "Bridging the gap between patient-specific and patient-independent seizure prediction via knowledge distillation." Journal of Neural Engineering 19.3 (2022): 036035.

[2] Wu, Di, et al. "C 2 SP-Net: joint compression and classification network for epilepsy seizure prediction." IEEE Transactions on Neural Systems and Rehabilitation Engineering 31 (2023): 841-850.

[3] Wu, Di, et al. "Software-Hardware Co-Design for Energy-Efficient Continuous HealthMonitoring Via Task-Aware Compression." IEEE Transactions on Biomedical Circuits and Systems (2023).