Personal profile
Personal profile
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.
Research interests
- 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.
Experience
Postdoc, Academy of Pharmacy, Xian Jiaotong-Liverpool University, 2022-present
Teaching
APH101-2223-S2-Biostatistics and R Programming
APH102-2223-S2-Mathematical Modeling
Awards and honours
2022年入选“苏州市自然科学优秀学术论文一等奖”（SZLW202206，2020-2021年度）
Education/Academic qualification
PhD, University of Liverpool
Jan 2019 → Jun 2022
Master, University of Oxford
Sept 2017 → Sept 2018
Bachelor, University of Liverpool
Sept 2013 → Jul 2017
Research areas
- AI-aided Drug Design
- Intelligent RNA Therapeutics
- Deep Learning
Person Types
- Staff
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being
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Collaborations and top research areas from the last five years
Projects
- 5 Active
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Development of Deep Learning Approaches for Intelligent RNA Therapeutics
Huang, D. (PI)
1/07/25 → 30/06/28
Project: Internal Research Project
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Single-Molecule Single-Cell Imaging and Analysis Innovation Platform
Ruan, G. (PI), Zhang, X. (Team member), Wang, Y. (Team member), Zhou, Z. (Team member), Zhang, J. (Team member), Ding, D. (Team member), Ling, C. (Team member), Wu, Q. (Team member), Xu, P. (Team member), Ho, J. (Team member), Cheng, K. (Team member), Song, J. (Team member), Guo, B. (Team member), Wu, S. (Team member), Wang, J. (Team member), Sun, Y. (Team member), Lu, T. (Team member), Li, T. (Team member), Xu, Y. (Team member), Huang, D. (Team member), Cao, S. (Team member), Leng, J. (Team member) & Wen, X. (Team member)
1/10/24 → 30/09/26
Project: Governmental Research Project
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Jiangsu Province Higher Education Key Laboratory of Cell Therapy Nanoformulation (Construction)
Ruan, G. (PI), Lee, M. H. (Team member), Wu, Q. (Team member), Lu, T. (Team member), Xu, P. (Team member), Loo, S. (Team member), Sun, Y. (Team member), Kam, A. (Team member), Liu, X. (Team member), Wen, X. (Team member), Zhang, J. (Team member), Wang, M. (Team member), Xu, M. (Team member), Cheng, K. (Team member), Zhang, X. (Team member), Song, J. (Team member), Guo, B. (Team member), Wang, Y. (Team member), Wang, J. (Team member), Wu, S. (Team member), Yang, J. (Team member), Fu, L. (Team member), Zhang, J. (Team member), Qiao, Y. (Team member), Chen, Y. (Team member), Li, T. (Team member), Zhan, T. (Team member), Wan, Y. (Team member), He, Z. (Team member), Cheng, Y. (Team member), Leng, J. (Team member), Qi, M. (Team member), Ho, J. (Team member), Sun, Y. (Team member), Zhang, N. (Team member), Soe, H. M. S. H. (Team member), Ling, C. (Team member), Zhou, H. (Team member), Huang, D. (Team member) & Gu, J. (Team member)
1/07/24 → 30/06/27
Project: Governmental Research Project
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Prediction and engineering of non-coding sequences of mRNA therapeutics based on deep learning
Huang, D. (PI)
1/01/24 → 31/12/26
Project: Governmental Research Project
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Research on mitigating cold-protein problem in deep learning-based drug hits virtual screening models
Liu, X. (Team member), Li, T. (Team member), Wang, T. (Team member), Zha, H. (Team member), Chen, Y. (Team member), Huang, D. (PI), Li, B. (Team member) & Hao, Y. (Team member)
1/09/23 → 31/08/26
Project: Governmental Research Project
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TPP-Thiazole Derivatives Ameliorate Psoriasiform Inflammation by Glycolysis Inhibition
Meng, X., Cheng, C. A., Zhang, Z., Qu, S., Zhang, A., Zhang, Y., Gu, J., Zhang, H., Ding, K., Fu, L., Lu, M., Huang, D. & Qiao, Y., Mar 2026, In: Molecules. 31, 6, 982.Research output: Contribution to journal › Article › peer-review
Open Access -
Benchmarking Sequence-Based Compound–Protein Interaction Prediction through Constructing a Debiased Data Set CDPN
Hao, Y., Li, B., Huang, D., Fu, L., Cao, Z. & Liu, X., 8 Dec 2025, In: Journal of Chemical Information and Modeling. 65, 23, p. 12737-12751 15 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Database Resources of the National Genomics Data Center, China National Center for Bioinformation in 2025
CNCB-NGDC Members and Partners, 6 Jan 2025, In: Nucleic Acids Research. 53, D1, p. D30-D44Research output: Contribution to journal › Article › peer-review
Open Access245 Citations (Scopus) -
DirectRM: integrated detection of landscape and crosstalk between multiple RNA modifications using direct RNA sequencing
Zhang, Y., Wu, Y., Ma, J., Wu, Y., Li, L., Wang, H., Jia, G., Rigden, D. J., Meng, J., Huang, D. & Chen, K., Dec 2025, In: Nature Communications. 16, 1, 9450.Research output: Contribution to journal › Article › peer-review
Open Access10 Citations (Scopus) -
OncoTrace-TOO: Interpretable Machine Learning Framework for Cancer Tissue-of-Origin Identification Using Transcriptomic Signatures
Hao, Y., Huang, H., Huang, D., Ruan, J., Liu, X. & Zhang, J., Aug 2025, In: Cancer Reports. 8, 8, e70311.Research output: Contribution to journal › Article › peer-review
Open Access
Activities
- 1 Presentation at conference/workshop/seminar
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Weakly supervised learning of RNA modifications from low-resolution epitranscriptome data
Huang, D. (Speaker)
25 Jul 2021 → 30 Jul 2021Activity: Talk or presentation › Presentation at conference/workshop/seminar