Complex networks, network science, network mining, big data: developing computational and mathematical (graph theoretic) algorithms for efficient extraction of function from topology of complex (large, noisy, dynamic, heterogeneous, etc.) real-world networks, such as biological, physiological, social, and technological networks.
Computational and systems biology: studying interplay between network topology and biological function, disease, and evolution in molecular (e.g., protein-protein interaction) networks.
Computational chemistry: protein folding; computational drug discovery and design.
Theoretic computer science: computational graph theory; algorithms; network models.
For more details, visit my Complex Networks Lab's page.