Yufan (Andrew) Liu

Yufan (Andrew) Liu

Ph.D. Candidate in Computer Science
The University of Hong Kong

I am a Ph.D. candidate in Computer Science at the School of Computing and Data Science, The University of Hong Kong (HKU), where I am fortunate to be advised by Prof. Zhenqin (Michael) Wu.

I have an interdisciplinary background spanning computing and the life sciences. I completed my M.S. in Biology at the School of Pharmaceutical Sciences and the School of Life Sciences from Tsinghua University, and I hold a B.S. in Biotechnology from Huazhong Agricultural University.

My research interests include AI4Science, bioinformatics, and computational biology, with particular focus on spatial biology, computational genomics, and the design of biological molecules including proteins and small molecules. I am passionate about deep learning algorithms, especially generative modeling approaches.

I actively collaborate with clinical and industrial partners to develop innovative AI solutions for biological and medical applications. I am always open to new collaborations and discussions, feel free to reach out to me.

Selected Publications

# denotes equally contributed, * denotes corresponding author.

Modeling patient tissues at molecular resolution with Eva

bioRxiv 2025

Preprint

Modeling patient tissues at molecular resolution with Eva

Yufan Liu, Rishabh Sharma, Matthew Bieniosek, Amy Kang, Eric Wu, Peter Chou, Irene Li, Maha Rahim, Erica Bauer, Ran Ji, Wei Duan, Li Qian, Ruibang Luo, Padmanee Sharma, Renu Dhanasekaran, Christian M. Schürch, Gregory Charville, Aaron Mayer, James Zou, Alexandro E. Trevino*, Zhenqin Wu*

Protein-small molecule binding site prediction based on a pre-trained protein language model with contrastive learning

Journal of Cheminformatics 2024

Protein-small molecule binding site prediction based on a pre-trained protein language model with contrastive learning

Jue Wang#, Yufan Liu# and Boxue Tian*

Protein-DNA binding sites prediction based on pre-trained protein language model and contrastive learning

Briefings in Bioinformatics 2024

Protein-DNA binding sites prediction based on pre-trained protein language model and contrastive learning

Yufan Liu and Boxue Tian*

RNA editing restricts hyperactive ciliary kinases

Science 2021

RNA editing restricts hyperactive ciliary kinases

Dongdong Li, Yufan Liu, Peishan Yi, Zhiwen Zhu, Wei Li, Qiangfeng Cliff Zhang, Jin Billy Li and Guangshuo Ou*