Lantian Yao (姚岚天)

Email: lantianyao@link.cuhk.edu.cn


Kobilka Institute of Innovative Drug Discovery, (KIDD)
The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen)

[Google Sholar] [ORCID: 0000-0003-4554-6827] [Linkedin] [Wechat]


I am looking for a faculty or postdoctoral position in the field of bioinformatics and computational biology, with plans to commence in early 2025. If you have any available positions, please feel free to contact me directly at lantianyao@link.cuhk.edu.cn.

Short Bio

I am working at the intersection of machine learning and bioinformatics at the Kobilka Institute of Innovative Drug Discovery (Nobel Prize Research Institute) in CUHK-Shenzhen. My primary focus is on the application of artificial intelligence-based methodologies to analyze healthcare data. I am dedicated to advancing the field of drug discovery, with a particular emphasis on peptide drugs, through the development of novel machine learning algorithms.

Furthermore, I have diligently worked to integrate medical and biological data to construct high-quality global biology databases, such as dbAMP and CircNet. My research interests specifically encompass peptide drug discovery, machine and deep learning, biological database design, multi-omics data analysis, and systems biology.

To date, I have published 23 peer-reviewed papers in top journals such as Nucleic Acids Research (IF=16.6), Briefings in Bioinformatics (IF=9.5), Protein Science (IF=8.0), Analytical Chemistry (IF=7.4), Bioinformatics (IF=5.8). These papers have collectively garnered over 900 citations.

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