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OUYANG DEFANG ASSISTANT PROFESSOR
Title : ASSISTANT PROFESSOR
Institute: Institute of Chinese Medical Sciences
Research Fields: Multi-scale modeling in pharmaceutics: to integrate quantum mechanics (QM), molecular dynamics (MD), process simulation and biopharmaceutical modeling into drug delivery systems; Artificial intelligence (AI) of pharmaceutical formulations: to build the database of pharmaceutical formulations and predict the formulations by machine learning approaches; Pharmacoinformatics: to analyze pharmaceutical information from the literature, patent, clinical trial and marketed products by big data techniques.
Contact email: defangouyang@um.edu.mo
Notes: Dr Ouyang has a multidisciplinary background in pharmaceutics & computer modelling, with experience in academia and industry. He obtained his bachelor and master 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 over 20 refereed journal papers and 5 issued patents. He chaired the ‘Computational Pharmaceutics’ Workshop in 2014 Controlled Release Society Annual Meeting (Chicago, USA). He edited with Professor Smith the first book in this area (John Wiley & Sons Inc., 2015). Currently he supervises 4 PhD students and 7 master students. He also had successfully supervised two PhD students and 22 master research projects.
OUYANG DEFANG

Research Contents

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

Biography

  • Fellow of the Higher Education Academy (UK);
  • Editorial board of <Asian Journal of Pharmaceutical Sciences>;
  • Scientific Advisor of <Journal of Pharmaceutical Sciences>;
  • Editorial board of <In Silico Pharmacology> (Springer);
  • Guest editor of Special Issue “Gene Therapy” of <Pharmaceutics>;
  • Grant reviewer of BBSRC (UK) and French National Research Agency (ANR);
  • 2015 Outstanding reviewer of <International Journal of Pharmaceutics>;
  • Reviewer of <Molecular Pharmaceutics>, <International Journal of Pharmaceutics>, <Journal of Pharmaceutical Sciences>, <Journal of Pharmacy and Pharmacology>, <Drug Development and Industrial Pharmacy>, <American Journal of Pharmaceutical Education>, <BMC Biotechnology>, <Journal of Biomaterial Application>, <Pharmaceutics>, <Bioconjugate Chemistry>, <BMC Biotechnology>, <Chemical Communications>, <Colloids and Surfaces B Biointerfaces>, <International Journal of Molecular Sciences>, <Journal of Photochemistry and Photobiology B Biology>, <Pharmaceutics>, <Chemical Physics Letter>, <Journal of Physical Chemistry Letter> <Journal of Liposome Research>, <Drug Delivery> and <Biomacromolecules> et al.;

Research Outputs

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