Currently 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, aging diseases, and cancer therapeutics and drug discovery).
Background
Research interests include 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.