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Resume (English only)
Background
Research interests span bioinformatics and computational biology (genomics, epigenetics, network biology) and data science (machine learning, optimization, statistical models and algorithms).
Focuses on developing computational methods to analyze large-scale biological datasets and discover novel biological patterns.
Specializes in joint low-rank models for multi-view or multi-modal data and explores the underlying relationship between deep learning and low-rank models.
Works on cancer genomics by integrating multi-omics data to uncover driver pathways, molecular mechanisms, and to enable tumor classification and clinical outcome prediction.
Develops computational approaches in epigenetics to analyze genome-wide chromatin modification maps across cell types, revealing combinatorial patterns and functional DNA elements.
Engages in network biology and network science, applying network-based tools to address biological questions.