Daiyun Huang

Dr. Daiyun Huang received his B.Sc. degree in Mathematics from the University of Liverpool, M.Sc. degree in Statistical Science from the University of Oxford, and Ph.D. degree in Bioinformatics and Computer Science from the University of Liverpool. There, he gained significant practical experience in developing AI methodologies for applications in biomedical fields. Following his graduation, Dr. Huang took up a postdoctoral position at XJTLU Wisdom Lake Academy of Pharmacy, co-cultivated with Fudan University, where his research focused on the AI-aided drug design.

In early 2025, Dr. Huang advanced to the role of Assistant Professor at XJTLU Wisdom Lake Academy of Pharmacy. Here, he is responsible for teaching courses on Biostatistics and Artificial Intelligence in Pharmacy, while continuing his  research on molecular generation, interactions between macromolecules, and intelligent RNA therapies. He has published 20 papers in SCI-indexed journals, including 9 as first or corresponding author in top journals in the field such as Nature Communications, Nucleic Acids Research, Genomics, Proteomics & Bioinformatics, and Bioinformatics. He also presented his work at the reputed conference ISMB/ECCB 2021. Currently, he hosts grants from the NSFC Young Scientist Fund and Jiangsu Science and Technology Programme Fund.

• Practical generative AI framework for small molecules and peptides
• Interpretable neural fingerprints to characterize macromolecular interaction, facilitating the design of PROTACs and molecular glues.
• Intelligent RNA Therapeutics, including mRNA therapies, RNA aptamers, and exploring mechanisms initiated by RNA modifications and the translation of non-coding RNAs.