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Daiyun Huang


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Research activity per year

Personal profile

Personal profile

Dr. Daiyun Huang received his BSc degree in Mathematics from the University of Liverpool in 2017, his MSc degree in Statistical Science from the University of Oxford in 2018, and his Ph.D. degree in Computer Science from the University of Liverpool in July 2022. He joined the Academy of Pharmacy at XJTLU as a postdoctoral fellow in November 2022.His previous research revolved around developing deep learning models for biological sequences, especially for RNA modification research. His current research interests mainly focus on AI-aided drug discovery, including developing deep learning methods for high-throughput virtual screening and de novo generation of hit-like molecules. Special attention is paid to out-of-distribution problems and protein representation learning.

Research interests

AI-aided drug discovery: high-throughput virtual screening and de novo generation of hit-like molecules.

Prediction and engineering of non-coding sequences of mRNA-based therapeutics based on deep learning

Develop computational models of biological sequences (DNA, RNA, and proteins) to address meaningful biological questions, such as predicting the effect of mutations on protein function.


Postdoc, Academy of Pharmacy, Xian Jiaotong-Liverpool University, 2022-present


APH101-2223-S2-Biostatistics and R Programming

APH102-2223-S2-Mathematical Modeling

Awards and honours


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):

  • SDG 3 - Good Health and Well-being

Education/Academic qualification

Ph.D., University of Liverpool, 2022

MSc, University of Oxford, 2018

BSc, University of Liverpool, 2017

Person Types

  • Staff


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Collaborations and top research areas from the last five years

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