Professor Chen has been doing multi-discipline researches for more than 20 years. Her research focus is to find effective solutions for visualizing, integrating, analyzing and mining big data, complex structures and functions for scientific and biomedical applications. She has been working in many emerging areas such as bioinformatics, multimedia, artificial intelligence, scientific visualization, pattern recognition, health informatics, deep learning, data mining, and databases. Her current Research includes Knowledge Discovery for RNA Structure and Function, Deep Learning Approach and its Applications, Visual and Data Analysis in Disease Diagnosis, Medical Image Analysis with Pattern Recognition, Drug Design by Visualization and Machine Learning Approach, Mining Protein and Genome Regulatory Networks using Graphic Models. She has recently been appointed to the ARC College of Experts.

Phoebe has published over 280 research papers, many of them appeared in top journals and conferences such as IEEE Transactions on Neural Networks and Learning Systems, Nature Machine Intelligence, Artificial Intelligence, Bioinformatics, IEEE Transactions on Biomedical Engineering, Pattern Recognition, Molecular Systems Biology, IEEE Transactions on Industrial Informatics, IEEE Transactions on Multimedia, Aging Cell, Nucleic Acids Research, BMC Genomics, Current Drug Metabolism, Journal of Medical Genetics, RNA, IEEE Transactions on Knowledge and Data Engineering, Information Systems, CVPR, AAAI, SIGMOD, ACM MM etc. . Phoebe is/has been associate editor for IEEE Transactions on Neural Networks and Learning Systems and IEEE Transactions on Multimedia, Editor-in-Chief Current Bioinformatics. Phoebe is vice chair of ACM SIGMM, steering committee chair of Asia-Pacific Bioinformatics Conference (founder) and International conference on Multimedia Modelling. She has been on the program committee’s chairs and member of over 100 international conferences, including top ranking conferences such as AAAI, ACM MM, ICDE, ICPR, ISMB, CIKM etc.