Hi! I'm Zhe Liu (刘喆).

 I'm currently a Lecturer in the Department of Computer Science and Engineering, East China University of Science and Technology. I received my Ph.D. in Biomedical Engineering at Shanghai Jiao Tong University (SJTU) on 2025, also with academic guidance from Prof. Dong Xu at University of South Florida. Prior to that, I received my B.Sc. in Computer Science from Northeast Normal University (NENU) in 2020, advised by Prof. Han Wang.

My research focuses on AI for Science, aiming to bridge computation and biomedicine through the development of interpretable, intelligent, and biologically meaningful models and embodied AI agents for biomedical discovery and automated experimentation. Current interests include:

- Variant effect prediction

- Multi-omics and multimodal modeling

- AI applications in Psychiatry

- Embodied AI for biomedicine

💌 I warmly welcome collaboration opportunities and invite students interested in my research to get in touch!

My personal academic homepage: https://liuzhe30.github.io/

Selected publications:

1. Zhe Liu, Yihang Bao, An Gu, Weichen Song, Guan Ning Lin*. Predicting the regulatory impacts of non-coding variants on gene expression through epigenomic integration across tissues and single-cell landscapes.

Nature Computational Science. (2025 IF=18.3)

2. Zhe Liu, An Gu, Yihang Bao, Guan Ning Lin*. Epigenetic Impacts of Non-Coding Mutations Deciphered Through Pre-Trained DNA Language Model at Single-Cell Resolution.

Advanced Science. (2025 IF=14.1)

3. Zhe Liu#, Yihang Bao#, Shuai Zeng#, Ruiyi Qian, Miaohan Deng, An Gu, Jianye Li, Weidi Wang, Wenxiang Cai, Wenhao Li, Han Wang*, Dong Xu*, Guan Ning Lin*. Large Language Models in Psychiatry: Current Applications, Limitations, and Future Scope.

Big Data Mining and Analytics. (2024 IF=7.7)

4. Zhe Liu#, Wei Qian#, Wenxiang Cai#, Weichen Song, Weidi Wang, Dhruba Tara Maharjan, Wenhong Cheng, Jue Chen, Han Wang, Dong Xu*, Guan Ning Lin*. MIPPI: Inferring the effects of protein variants on protein–protein interactions with interpretable transformer representations.

Research. (2023 IF=11)

5. Zhe Liu#, Yihang Bao#, Wenhaoi Li#, Jinwei Wu, Weidi Wang*, Guan Ning Lin*. MEMO-stab: Sequence-based Annotation of Mutation Effect on Transmembrane Protein Stability with Protein Language Model-Driven Machine Learning.

2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2024).