My research interest covers a broad range of topics: development and application of computational and statistical techniques, machine learning and deep learning models to theoretical and methodological problems within the areas of medical image analysis, natural language processing, computational biology, social and biophysical network analysis, and pervasive computing. Currently, my work focuses on: prediction and classification of phenotypical cellular biomarkers of tumor cells for medical images; utilizing natural language processing techniques for text mining in medical field; network analysis and comparison based on massive human behavior data; Bayesian methods for clustering, inference and properties of large-scale, high-dimensional, single-cell cytometry datasets.
Research Areas
- Artificial Intelligence and Machine Learning
- Bioinformatics and Computational Biology
- Databases and Data Mining
- Health Informatics
- Social Informatics
