Seminar

Guest Speaker:

Defang Ouyang, PhD, Associate Professor, University of Macau

Talk title:

Opportunity and Challenge of Artificial Intelligence (AI) in Drug Delivery

Bio:

Prof. Ouyang has a multidisciplinary background in pharmaceutics & computer modeling, with experience in academia and industry. He obtained his bachelor’s (2000) and master’s (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). At 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, over 100 refereed SCI journal papers, and over 100 invited talks. He held 11 approved patents, which had been used in medicinal products. In this research area, he edited the first book <Computational Pharmaceutics – The Application of Molecular Modeling in Drug Delivery> (John Wiley & Sons Inc., 2015). He serves as the associate editor of <Drug Delivery and Translational Research>, editorial board/scientific advisor of <Asian Journal of Pharmaceutical Sciences>, <Pharmaceutical Research> and <Journal of Pharmaceutical Sciences>. He established the first artificial intelligence (AI)-based formulation platform (FormulationAI). He successfully trained 6 PhD and 30 master’s students.

His research focused on computational pharmaceutics, including:

• Artificial intelligence (AI) of pharmaceutical formulations: to build the database of pharmaceutical formulations and predict pharmaceutical formulations by machine learning approaches;
• Multi-scale modeling in drug delivery: to integrate quantum mechanics (QM), molecular dynamics (MD), and physiologically based pharmacokinetic (PBPK) modeling into drug delivery systems;
• Pharmacoinformatics: big data analysis of pharmaceutical information from the literature, patent, clinical trial, and marketed products.