Prof. Defang Ouyang
Prof. Ouyang has a multidisciplinary background in pharmaceutics & computer modelling, with experience in academia and industry. He obtained his bachelor (2000) and master (2005) in pharmaceutics from Shenyang Pharmaceutical University, China. He completed his PhD in pharmacy at The University of Queensland, Australia, in 2010 and progressed directly to his faculty position (Lecturer in Pharmaceutics, PI) at Aston University (UK). From the end of 2014, he moved to the University of Macau.
Since 2011, he has pioneered the integration of multi-scale modeling, artificial intelligence and big data techniques in the field of drug delivery – “computational pharmaceutics“. He has published 2 books, 5 book chapters and over 150 refereed SCI journal papers, along with more than 150 invited talks. He held over 10 approved patents, which had been used in medicinal products. He edited the first book in this research domain Exploring Computational Pharmaceutics – AI and Modeling in Pharma 4.0, (Wiley, 1st Edition in 2015 & 2nd edition in 2024). He has developed the crucial "Rule of 5" for effective AI drug delivery models and successfully built the first global artificial intelligence (AI)-based formulation platform “FormulationAI”.
He serves as the associate editor of Drug Delivery and Translational Research, the editorial board or scientific advisor of Advanced Drug Delivery Review, Asian Journal of Pharmaceutical Sciences, Pharmaceutical Research, and Journal of Pharmaceutical Sciences. He successfully trained 6 PhD and over 30 master students. He has been recognized as “World’s Top 2% Scientists” from 2020 to 2025.
His research focused on computational pharmaceutics, including:
- Artificial intelligence (AI) in drug delivery: to develop advanced machine learning algorithms for drug delivery systems;
- Multi-scale modeling in drug formulations: to integrate quantum mechanics (QM), molecular dynamics (MD) and physiologically based pharmacokinetic (PBPK) modeling into pharmaceutical formulations;
- Pharmacoinformatics: big data analysis of pharmaceutical information from the literature, patent, clinical trial and marketed products.



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