The research objective of this lab is mainly to develop novel computational methodology and systems (e.g. algorithms, models, software, databases, etc.) to help answer biomedical questions and to improve public health. Currently, we are focused on computational methods of data mining, modeling and simulation in genomics and molecular systems biology (e.g. single-cell "omics" data analysis, signaling pathways, gene regulatory networks), which can be used to accelerate knowledge discovery in life sciences (e.g. stem cell based regenerative medicine, ageing diseases and cancer therapeutics and drug discovery, etc.).

Research Directions

• Bioinformatics, computational and systems biology
• Data science for Biomedicine and Healthcare
• Machine learning in life sciences
• Dynamical modeling and simulation of cell fate
• Algorithm design and analysis

Last updated: 06 Jan. 2019