Dr 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 100 refereed SCI journal papers. He held 11 approved patents, which had been used in medicinal products. He edited the first book “Computational Pharmaceutics – the application of molecular modeling in drug delivery” (John Wiley & Sons Inc., 2015) in this research area. 

He is invited to be associate editor of “Drug Delivery and Translational Research”. He also serves as the editorial board or scientific advisor of “Asian Journal of Pharmaceutical Sciences”, “Pharmaceutical Research”, “Pharmaceutics” and “Journal of Pharmaceutical Sciences”. 

He is establishing the first global artificial intelligence (AI)-based formulation platform. 

He successfully trained 6 PhD and 30 master. 

欧阳德方教授具有药剂学和计算机的多科学背景和经验。他於沈阳药科大学药物制剂专业获学士学位（2000年）和硕士学位（2005年）。2010年在澳大利亚昆士兰大学药学院获博士学位，博士论文获校长奖。2011年1月起在英国阿斯顿大学药学系任药剂学讲师(PI)。2014年11月起加入澳门大学中华医药研究院任教(PI)。
  自2011年起，他先锋性地将人工智能、大数据和多尺度模拟技术用於药物制剂研究—“计算药剂学”。主编的本领域第一部专著《Computational Pharmaceutics》一书於2015年由英国John Wiley & Sons Inc.出版，并且构建了全世界第一个药物制剂人工智能平台(FormulationAI)。目前有11项专利授权并应用於上市药品,发表SCI论文100多篇，国内外学术邀请报告100多次。应邀担任多个国际SCI药学期刊副主编/编委（Drug Delivery and Translational Research, Asian Journal of Pharmaceutical Sciences, Pharmaceutical Research, Pharmaceutics, Journal of Pharmaceutical Science）。在国内外已培养毕业6名博士和30名硕士。
 他的研究专注于计算药剂学，包括以下三个研究方向：
药物制剂人工智能：建立药物制剂数据库并发展制剂预测的机器学习算法，从而构建药物制剂人工智能平台；
药物制剂多尺度模拟：将量子力学、分子模拟和药动学模拟相结合用於药物剂型研究；
药物信息学：对药学文献、专利、临床数据和上市药品进行大数据分析。