Research Interests
My research focuses on AI for Biology, with a specialization in the AI Virtual Cell (AIVC). My core work involves:
- Building foundation models using multi-modal data.
- Predicting single-cell responses to perturbations.
- Engineering agentic AIVCs to automate and accelerate biological discovery.
“VCs must work across biological scales, over time, and across data modalities and should help reveal the programming language of cellular systems and provide an interface to use it for engineering purposes.” – Cell 2024
Publications
# First Author * Corresponding Author
2026
- Pengpeng Wu#, Hailin Wei#, Yazi Li#, Xinwei Zheng, Caibin Zhou, Xihao Hu, Chenfei Wang*. Decoding Single-Cell Omics of Perturbation Responses Using DeSCOPE. bioRxiv [Software]
2023
- Pengpeng Wu#, Zhenjun Nie, Zhiqiang Huang, Xiaodan Zhang*. CircPCBL: Identification of Plant CircRNAs with a CNN-BiGRU-GLT Model. Plants-Basel [Software]