Research Interests

Complex networks, network science, data mining, big data: developing computational and mathematical approaches for efficient extraction of function from topology of complex (large, noisy, dynamic, heterogeneous, etc.) real-world networks.

Theoretic computer science: computational graph theory; algorithms; network models.

Computational (systems) biology, network medicine: studying interplay between network topology and biological function, disease, aging, and evolution in molecular (e.g., protein-protein interaction) networks.

Computational chemistry: protein folding; computational drug discovery and design.

Social networks: studying the relationship between people’s social interactions and their behaviors.

Scientific wellness: personalized recommendations for improving health and preventing disease by integrating social, behavioral, environmental , physiological, molecular, physical activity tracking, and other data.

For more details, visit my Complex Networks Lab's page.


Short Videos About Some Of My Group's Research Projects